Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
2024年12月10日 –
2024年12月15日
Microsoft at NeurIPS 2024
地点： Vancouver, BC, Canada
论文与出版物
按年份分类的论文与出版物
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Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
Machine Learning for Health Symposium 2024 | December 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Vibhav Vineet, Xin Wang, Neel Joshi
2024 Neural Information Processing Systems | December 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
December 2024
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Smolensky, Jianfeng Gao, Roland Fernandez
2024 Neural Information Processing Systems | December 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
NeurIPS 2024 | December 2024
Neuro-Symbolic Data Generation for Math Reasoning
Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
November 2024
Dimensions of Generative AI Evaluation Design
P. A. Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alex Chouldechova, Hanna Wallach
November 2024
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
November 2024
A Bayesian Approach to Data Point Selection
Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy M. Hospedales
NeurIPS 2024 | November 2024
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah Hooper, Hui Xue
Machine Learning for Health (ML4H) 2024 | November 2024
Bridging Geometric States via Generative Modeling
Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
NeurIPS 2024 | October 2024
Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
Xun Wu, Shaohan Huang, Furu Wei
October 2024
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
2024 Neural Information Processing Systems | October 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Yansen Wang, Zilong Wang
October 2024
Energy-efficient Reinforcement Learning by Discovering Neural Pathways
October 2024
Gorilla: Teaching LLMs to Use Tools
Xin Wang
October 2024
Implicit Curriculum in Procgen Made Explicit
Kaixin Wang, Xinchao Wang
October 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
Jingjing Liu
October 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
October 2024
Motion Graph Unleashed: A Novel Approach to Video Prediction
Luming Liang, Ilya Zharkov
October 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
Xun Wu, Shaohan Huang, Furu Wei
October 2024
Not All Tokens Are What You Need for Pretraining
Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Jian Jiao, Nan Duan, Weizhu Chen
2024 Neural Information Processing Systems | October 2024
Best Paper Runner Up
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 Neural Information Processing Systems | October 2024
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
Rui Wang, Junliang Guo, Xu Tan
NeurIPS 2024 | October 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
NeurIPS 2024 | October 2024
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila, Dylan Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
NeurIPS 2024 | October 2024
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos
Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang
2024 Neural Information Processing Systems | October 2024
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
October 2024
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jerry Li
October 2024
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
Lester Mackey, Miro Dudík, Alex Chouldechova
October 2024
The Power of Resets in Online Reinforcement Learning
Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
NeurIPS 2024 | October 2024
Topic-Conversation Relevance (TCR) Dataset and Benchmarks
Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler
October 2024
Using Noise to Infer Aspects of Simplicity Without Learning
October 2024
What can Foundation Models’ Embeddings do?
Linjie Li, Jianwei Yang, Lijuan Wang
October 2024
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson
NeurIPS 2024 | September 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, A. Anandkumar, Furong Huang
NeurIPS 2024 | September 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
NeurIPS 2024 | September 2024
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
Towards Flexible Visual Relationship Segmentation
Fangrui Zhu, Jianwei Yang, Huaizu Jiang
2024 Neural Information Processing Systems | August 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2024 | August 2024
Improving Context-Aware Preference Modeling for Language Models
Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2024 | July 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan Foster, Adam Block, Dipendra Misra
NeurIPS 2024 | July 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee
NeurIPS 2024 | July 2024
A Generative Approach to Control Complex Physical Systems
Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
NeurIPS 2024 | July 2024
The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, K. Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi, Vidhisha Balachandran
NeurIPS 2024 | July 2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
Minghan Li, Heng Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann
NeurIPS 2024 | June 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, A. Anandkumar, Frances H. Arnold, Yisong Yue
NeurIPS 2024 | June 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai
NeurIPS 2024 | June 2024
A Label is Worth a Thousand Images in Dataset Distillation
Tian Qin, Zhiwei Deng, David Alvarez-Melis
NeurIPS 2024 | June 2024
VideoGUI: A Benchmark for GUI Automation from Instructional Videos
Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
NeurIPS 2024 | June 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
NeurIPS 2024 | June 2024
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel Bruinsma, Marlon Tobaben, Antti Honkela, Richard Turner
NeurIPS 2024 | June 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
NeurIPS 2024 | June 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
NeurIPS 2024 | June 2024
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, A. Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, D. Adelani, D. Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, L. A. Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, L. F. D’Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodr'iguez-Cantelar, Mélanie Jouitteau, M. Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula M'onica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago G'ongora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, T. Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng-Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, T. Solorio, Alham Fikri Aji
NeurIPS 2024 | June 2024
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
Variational Flow Matching for Graph Generation
Floor Eijkelboom, Grigory Bartosh, C. A. Naesseth, Max Welling, Jan-Willem van de Meent
NeurIPS 2024 | June 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao
NeurIPS 2024 | June 2024
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
NeurIPS 2024 | June 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
NeurIPS 2024 | June 2024
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
NeurIPS 2024 | June 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
NeurIPS 2024 | June 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
NeurIPS 2024 | May 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
NeurIPS 2024 | May 2024
Instruction-Guided Visual Masking
Jinliang Zheng, Jianxiong Li, Si Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
NeurIPS 2024 | May 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
Arthur Juliani, Jordan Ash
NeurIPS 2024 | May 2024
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
NeurIPS 2024 | May 2024
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
NeurIPS 2024 | May 2024
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn
2024 Neural Information Processing Systems | May 2024
PromptFix: You Prompt and We Fix the Photo
Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo
NeurIPS 2024 | May 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani, P. Tigas, Stefan Bauer, Adam Foster, Adam Foster
NeurIPS 2024 | May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
NeurIPS 2024 | May 2024
Efficient Adversarial Training in LLMs with Continuous Attacks
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
NeurIPS 2024 | May 2024
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
NeurIPS 2024 | May 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
NeurIPS 2024 | May 2024
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, A. Storkey, Tim Pearce, Franccois Fleuret
NeurIPS 2024 | May 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen, Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
NeurIPS 2024 | May 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
NeurIPS 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
NeurIPS 2024 | May 2024
Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
NeurIPS 2024 | April 2024
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
NeurIPS 2024 | April 2024
Multi-Head Mixture-of-Experts
Xun Wu, Shaohan Huang, Wenhui Wang, Furu Wei
NeurIPS 2024 | April 2024
Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Guo
NeurIPS 2024 | April 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
NeurIPS 2024 | April 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Leying Zhang, Yao Qian, Long Zhou, Shujie Liu (shujliu), Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
NeurIPS 2024 | April 2024
Generalized Linear Bandits with Limited Adaptivity
Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha
NeurIPS 2024 | April 2024
Mind’s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
NeurIPS 2024 | April 2024
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman, Pashmina Cameron
2024 Neural Information Processing Systems | March 2024
Preprint
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo
NeurIPS 2024 | March 2024
Can large language models explore in-context?
Akshay Krishnamurthy, Keegan Harris, Dylan Foster, Cyril Zhang, Aleksandrs Slivkins
NeurIPS 2024 | March 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
NeurIPS 2024 | March 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu (Allen) Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
NeurIPS 2024 | March 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
NeurIPS 2024 | February 2024
Slot-VLM: SlowFast Slots for Video-Language Modeling
Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu
NeurIPS 2024 | February 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng
NeurIPS 2024 | February 2024
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
NeurIPS 2024 | February 2024
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
NeurIPS 2024 | February 2024
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Voila-A: Aligning Vision-Language Models with User’s Gaze Attention
Kun Yan, Lei Ji, Zeyu Wang, Yuntao Wang, Nan Duan, Shuai Ma
NeurIPS 2024 | December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, S. Sivaprasad, Lea Schonherr, Mario Fritz
NeurIPS 2024 | September 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang, R. Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, B. Raj
NeurIPS 2024 | May 2023
Identifying Equivalent Training Dynamics
William T. Redman, J. M. Bello-Rivas, M. Fonoberova, Ryan Mohr, I. Kevrekidis, Igor Mezi'c
NeurIPS 2024 | February 2023
按研究领域分类的论文与出版物
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
Machine Learning for Health Symposium 2024 | December 2024
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Vibhav Vineet, Xin Wang, Neel Joshi
2024 Neural Information Processing Systems | December 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
December 2024
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
NeurIPS 2024 | December 2024
Neuro-Symbolic Data Generation for Math Reasoning
Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Smolensky, Jianfeng Gao, Roland Fernandez
2024 Neural Information Processing Systems | December 2024
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
November 2024
Dimensions of Generative AI Evaluation Design
P. A. Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alex Chouldechova, Hanna Wallach
November 2024
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
November 2024
A Bayesian Approach to Data Point Selection
Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy M. Hospedales
NeurIPS 2024 | November 2024
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah Hooper, Hui Xue
Machine Learning for Health (ML4H) 2024 | November 2024
Bridging Geometric States via Generative Modeling
Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
NeurIPS 2024 | October 2024
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
October 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 Neural Information Processing Systems | October 2024
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
Lester Mackey, Miro Dudík, Alex Chouldechova
October 2024
The Power of Resets in Online Reinforcement Learning
Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
NeurIPS 2024 | October 2024
Using Noise to Infer Aspects of Simplicity Without Learning
October 2024
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos
Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang
2024 Neural Information Processing Systems | October 2024
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila, Dylan Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
NeurIPS 2024 | October 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
NeurIPS 2024 | October 2024
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
Rui Wang, Junliang Guo, Xu Tan
NeurIPS 2024 | October 2024
Not All Tokens Are What You Need for Pretraining
Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Jian Jiao, Nan Duan, Weizhu Chen
2024 Neural Information Processing Systems | October 2024
Best Paper Runner Up
Motion Graph Unleashed: A Novel Approach to Video Prediction
Luming Liang, Ilya Zharkov
October 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
October 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
Jingjing Liu
October 2024
What can Foundation Models’ Embeddings do?
Linjie Li, Jianwei Yang, Lijuan Wang
October 2024
Implicit Curriculum in Procgen Made Explicit
Kaixin Wang, Xinchao Wang
October 2024
Gorilla: Teaching LLMs to Use Tools
Xin Wang
October 2024
Energy-efficient Reinforcement Learning by Discovering Neural Pathways
October 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Yansen Wang, Zilong Wang
October 2024
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
2024 Neural Information Processing Systems | October 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
Xun Wu, Shaohan Huang, Furu Wei
October 2024
Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson
NeurIPS 2024 | September 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, A. Anandkumar, Furong Huang
NeurIPS 2024 | September 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
NeurIPS 2024 | September 2024
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
Towards Flexible Visual Relationship Segmentation
Fangrui Zhu, Jianwei Yang, Huaizu Jiang
2024 Neural Information Processing Systems | August 2024
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2024 | August 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan Foster, Adam Block, Dipendra Misra
NeurIPS 2024 | July 2024
Improving Context-Aware Preference Modeling for Language Models
Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2024 | July 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee
NeurIPS 2024 | July 2024
A Generative Approach to Control Complex Physical Systems
Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
NeurIPS 2024 | July 2024
The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, K. Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi, Vidhisha Balachandran
NeurIPS 2024 | July 2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
Minghan Li, Heng Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann
NeurIPS 2024 | June 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai
NeurIPS 2024 | June 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, A. Anandkumar, Frances H. Arnold, Yisong Yue
NeurIPS 2024 | June 2024
A Label is Worth a Thousand Images in Dataset Distillation
Tian Qin, Zhiwei Deng, David Alvarez-Melis
NeurIPS 2024 | June 2024
VideoGUI: A Benchmark for GUI Automation from Instructional Videos
Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
NeurIPS 2024 | June 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
NeurIPS 2024 | June 2024
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel Bruinsma, Marlon Tobaben, Antti Honkela, Richard Turner
NeurIPS 2024 | June 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
NeurIPS 2024 | June 2024
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, A. Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, D. Adelani, D. Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, L. A. Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, L. F. D’Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodr'iguez-Cantelar, Mélanie Jouitteau, M. Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula M'onica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago G'ongora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, T. Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng-Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, T. Solorio, Alham Fikri Aji
NeurIPS 2024 | June 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
NeurIPS 2024 | June 2024
Variational Flow Matching for Graph Generation
Floor Eijkelboom, Grigory Bartosh, C. A. Naesseth, Max Welling, Jan-Willem van de Meent
NeurIPS 2024 | June 2024
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
NeurIPS 2024 | June 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao
NeurIPS 2024 | June 2024
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
NeurIPS 2024 | June 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
NeurIPS 2024 | June 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
NeurIPS 2024 | June 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
NeurIPS 2024 | May 2024
Instruction-Guided Visual Masking
Jinliang Zheng, Jianxiong Li, Si Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
NeurIPS 2024 | May 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
NeurIPS 2024 | May 2024
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
NeurIPS 2024 | May 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
Arthur Juliani, Jordan Ash
NeurIPS 2024 | May 2024
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
NeurIPS 2024 | May 2024
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn
2024 Neural Information Processing Systems | May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani, P. Tigas, Stefan Bauer, Adam Foster, Adam Foster
NeurIPS 2024 | May 2024
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
NeurIPS 2024 | May 2024
Efficient Adversarial Training in LLMs with Continuous Attacks
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
NeurIPS 2024 | May 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
NeurIPS 2024 | May 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
NeurIPS 2024 | May 2024
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, A. Storkey, Tim Pearce, Franccois Fleuret
NeurIPS 2024 | May 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen, Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
NeurIPS 2024 | May 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
NeurIPS 2024 | May 2024
Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
NeurIPS 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
NeurIPS 2024 | April 2024
Multi-Head Mixture-of-Experts
Xun Wu, Shaohan Huang, Wenhui Wang, Furu Wei
NeurIPS 2024 | April 2024
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
NeurIPS 2024 | April 2024
Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
NeurIPS 2024 | April 2024
Generalized Linear Bandits with Limited Adaptivity
Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha
NeurIPS 2024 | April 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Leying Zhang, Yao Qian, Long Zhou, Shujie Liu (shujliu), Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
NeurIPS 2024 | April 2024
Mind’s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
NeurIPS 2024 | April 2024
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman, Pashmina Cameron
2024 Neural Information Processing Systems | March 2024
Preprint
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo
NeurIPS 2024 | March 2024
Can large language models explore in-context?
Akshay Krishnamurthy, Keegan Harris, Dylan Foster, Cyril Zhang, Aleksandrs Slivkins
NeurIPS 2024 | March 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
NeurIPS 2024 | March 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu (Allen) Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
NeurIPS 2024 | March 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
NeurIPS 2024 | February 2024
Slot-VLM: SlowFast Slots for Video-Language Modeling
Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu
NeurIPS 2024 | February 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng
NeurIPS 2024 | February 2024
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
NeurIPS 2024 | February 2024
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
NeurIPS 2024 | February 2024
Voila-A: Aligning Vision-Language Models with User’s Gaze Attention
Kun Yan, Lei Ji, Zeyu Wang, Yuntao Wang, Nan Duan, Shuai Ma
NeurIPS 2024 | December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, S. Sivaprasad, Lea Schonherr, Mario Fritz
NeurIPS 2024 | September 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang, R. Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, B. Raj
NeurIPS 2024 | May 2023
Identifying Equivalent Training Dynamics
William T. Redman, J. M. Bello-Rivas, M. Fonoberova, Ryan Mohr, I. Kevrekidis, Igor Mezi'c
NeurIPS 2024 | February 2023
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A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
December 2024
Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
November 2024
Dimensions of Generative AI Evaluation Design
P. A. Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alex Chouldechova, Hanna Wallach
November 2024
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
November 2024
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MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
Machine Learning for Health Symposium 2024 | December 2024
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah Hooper, Hui Xue
Machine Learning for Health (ML4H) 2024 | November 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
NeurIPS 2024 | June 2024
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
NeurIPS 2024 | June 2024
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jerry Li
October 2024
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Topic-Conversation Relevance (TCR) Dataset and Benchmarks
Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler
October 2024
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HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
NeurIPS 2024 | December 2024
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Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
Xun Wu, Shaohan Huang, Furu Wei
October 2024
Motion Graph Unleashed: A Novel Approach to Video Prediction
Luming Liang, Ilya Zharkov
October 2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
Minghan Li, Heng Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann
NeurIPS 2024 | June 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
NeurIPS 2024 | June 2024
PromptFix: You Prompt and We Fix the Photo
Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo
NeurIPS 2024 | May 2024
Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
NeurIPS 2024 | May 2024
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Guo
NeurIPS 2024 | April 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
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RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
NeurIPS 2024 | October 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
NeurIPS 2024 | June 2024
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MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
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MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
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TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
NeurIPS 2024 | May 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Leying Zhang, Yao Qian, Long Zhou, Shujie Liu (shujliu), Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
NeurIPS 2024 | April 2024
按类型分类的论文与出版物
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A Shared Standard for Valid Measurement of Generative AI Systems’ Capabilities, Risks, and Impacts
Alex Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna Wallach
December 2024
Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems
Emma Harvey, Emily Sheng, Su Lin Blodgett, Alex Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna Wallach
November 2024
Dimensions of Generative AI Evaluation Design
P. A. Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alex Chouldechova, Hanna Wallach
November 2024
Evaluating Generative AI Systems is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, Nick Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alex Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. A. Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
November 2024
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma, Valentina Salvatelli, Shaury Srivastav, Kenza Bouzid, Shruthi Bannur, Daniel Coelho de Castro, Maximilian Ilse, Sam Bond-Taylor, Mercy Ranjit, Fabian Falck, Fernando Pérez-García, Anton Schwaighofer, Hannah Richardson (nee Murfet), Maria Teodora Wetscherek, Stephanie Hyland, Javier Alvarez-Valle
Machine Learning for Health Symposium 2024 | December 2024
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
NeurIPS 2024 | December 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Vibhav Vineet, Xin Wang, Neel Joshi
2024 Neural Information Processing Systems | December 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Shun Zheng, Xumeng Wen, Jiang Bian
2024 Neural Information Processing Systems | December 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
NeurIPS 2024 | December 2024
spotlight
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
NeurIPS 2024 | December 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
NeurIPS 2024 | December 2024
Neuro-Symbolic Data Generation for Math Reasoning
Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Smolensky, Jianfeng Gao, Roland Fernandez
2024 Neural Information Processing Systems | December 2024
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
2024 Neural Information Processing Systems | December 2024
Can Graph Learning Improve Task Planning?
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
NeurIPS 2024 | December 2024
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
A Bayesian Approach to Data Point Selection
Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy M. Hospedales
NeurIPS 2024 | November 2024
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah Hooper, Hui Xue
Machine Learning for Health (ML4H) 2024 | November 2024
Bridging Geometric States via Generative Modeling
Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
NeurIPS 2024 | October 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 Neural Information Processing Systems | October 2024
The Power of Resets in Online Reinforcement Learning
Zakaria Mhammedi, Dylan Foster, Alexander Rakhlin
NeurIPS 2024 | October 2024
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos
Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang
2024 Neural Information Processing Systems | October 2024
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila, Dylan Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
NeurIPS 2024 | October 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
NeurIPS 2024 | October 2024
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
Rui Wang, Junliang Guo, Xu Tan
NeurIPS 2024 | October 2024
Not All Tokens Are What You Need for Pretraining
Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Jian Jiao, Nan Duan, Weizhu Chen
2024 Neural Information Processing Systems | October 2024
Best Paper Runner Up
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
2024 Neural Information Processing Systems | October 2024
Active, anytime-valid risk controlling prediction sets
Nikos Karampatziakis, Paul Mineiro
NeurIPS 2024 | October 2024
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
2024 Neural Information Processing Systems | October 2024
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson
NeurIPS 2024 | September 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, A. Anandkumar, Furong Huang
NeurIPS 2024 | September 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
NeurIPS 2024 | September 2024
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
NeurIPS 2024 | August 2024
Towards Flexible Visual Relationship Segmentation
Fangrui Zhu, Jianwei Yang, Huaizu Jiang
2024 Neural Information Processing Systems | August 2024
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2024 | August 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan Foster, Adam Block, Dipendra Misra
NeurIPS 2024 | July 2024
Improving Context-Aware Preference Modeling for Language Models
Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
NeurIPS 2024 | July 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee
NeurIPS 2024 | July 2024
A Generative Approach to Control Complex Physical Systems
Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
NeurIPS 2024 | July 2024
The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, K. Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi, Vidhisha Balachandran
NeurIPS 2024 | July 2024
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
Minghan Li, Heng Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann
NeurIPS 2024 | June 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai
NeurIPS 2024 | June 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, A. Anandkumar, Frances H. Arnold, Yisong Yue
NeurIPS 2024 | June 2024
A Label is Worth a Thousand Images in Dataset Distillation
Tian Qin, Zhiwei Deng, David Alvarez-Melis
NeurIPS 2024 | June 2024
VideoGUI: A Benchmark for GUI Automation from Instructional Videos
Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
NeurIPS 2024 | June 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
NeurIPS 2024 | June 2024
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel Bruinsma, Marlon Tobaben, Antti Honkela, Richard Turner
NeurIPS 2024 | June 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
NeurIPS 2024 | June 2024
DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Alexander Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
NeurIPS 2024 | June 2024
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, A. Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, D. Adelani, D. Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, L. A. Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, L. F. D’Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodr'iguez-Cantelar, Mélanie Jouitteau, M. Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula M'onica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago G'ongora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, T. Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng-Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, T. Solorio, Alham Fikri Aji
NeurIPS 2024 | June 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
NeurIPS 2024 | June 2024
Variational Flow Matching for Graph Generation
Floor Eijkelboom, Grigory Bartosh, C. A. Naesseth, Max Welling, Jan-Willem van de Meent
NeurIPS 2024 | June 2024
Understanding Information Storage and Transfer in Multi-modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
NeurIPS 2024 | June 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao
NeurIPS 2024 | June 2024
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
NeurIPS 2024 | June 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
NeurIPS 2024 | June 2024
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
NeurIPS 2024 | June 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024 | June 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
NeurIPS 2024 | June 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward
Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
NeurIPS 2024 | May 2024
Instruction-Guided Visual Masking
Jinliang Zheng, Jianxiong Li, Si Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
NeurIPS 2024 | May 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
NeurIPS 2024 | May 2024
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
NeurIPS 2024 | May 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
Arthur Juliani, Jordan Ash
NeurIPS 2024 | May 2024
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
NeurIPS 2024 | May 2024
PromptFix: You Prompt and We Fix the Photo
Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo
NeurIPS 2024 | May 2024
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn
2024 Neural Information Processing Systems | May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
NeurIPS 2024 | May 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani, P. Tigas, Stefan Bauer, Adam Foster, Adam Foster
NeurIPS 2024 | May 2024
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
NeurIPS 2024 | May 2024
Efficient Adversarial Training in LLMs with Continuous Attacks
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
NeurIPS 2024 | May 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
NeurIPS 2024 | May 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
NeurIPS 2024 | May 2024
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, A. Storkey, Tim Pearce, Franccois Fleuret
NeurIPS 2024 | May 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen, Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
NeurIPS 2024 | May 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
NeurIPS 2024 | May 2024
Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
NeurIPS 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
NeurIPS 2024 | April 2024
Multi-Head Mixture-of-Experts
Xun Wu, Shaohan Huang, Wenhui Wang, Furu Wei
NeurIPS 2024 | April 2024
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
NeurIPS 2024 | April 2024
Protecting Your LLMs with Information Bottleneck
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
NeurIPS 2024 | April 2024
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Guo
NeurIPS 2024 | April 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
Dylan Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
NeurIPS 2024 | April 2024
Generalized Linear Bandits with Limited Adaptivity
Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha
NeurIPS 2024 | April 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Leying Zhang, Yao Qian, Long Zhou, Shujie Liu (shujliu), Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
NeurIPS 2024 | April 2024
Mind’s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
NeurIPS 2024 | April 2024
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman, Pashmina Cameron
2024 Neural Information Processing Systems | March 2024
Preprint
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo
NeurIPS 2024 | March 2024
Can large language models explore in-context?
Akshay Krishnamurthy, Keegan Harris, Dylan Foster, Cyril Zhang, Aleksandrs Slivkins
NeurIPS 2024 | March 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
NeurIPS 2024 | March 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu (Allen) Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
NeurIPS 2024 | March 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
NeurIPS 2024 | February 2024
Slot-VLM: SlowFast Slots for Video-Language Modeling
Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu
NeurIPS 2024 | February 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng
NeurIPS 2024 | February 2024
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
NeurIPS 2024 | February 2024
A Framework for Bilevel Optimization on Riemannian Manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
NeurIPS 2024 | February 2024
Voila-A: Aligning Vision-Language Models with User’s Gaze Attention
Kun Yan, Lei Ji, Zeyu Wang, Yuntao Wang, Nan Duan, Shuai Ma
NeurIPS 2024 | December 2023
TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
NeurIPS 2024 | November 2023
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, S. Sivaprasad, Lea Schonherr, Mario Fritz
NeurIPS 2024 | September 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang, R. Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, B. Raj
NeurIPS 2024 | May 2023
Identifying Equivalent Training Dynamics
William T. Redman, J. M. Bello-Rivas, M. Fonoberova, Ryan Mohr, I. Kevrekidis, Igor Mezi'c
NeurIPS 2024 | February 2023
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Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
October 2024
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jerry Li
October 2024
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
Lester Mackey, Miro Dudík, Alex Chouldechova
October 2024
Topic-Conversation Relevance (TCR) Dataset and Benchmarks
Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler
October 2024
Using Noise to Infer Aspects of Simplicity Without Learning
October 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
Xun Wu, Shaohan Huang, Furu Wei
October 2024
Motion Graph Unleashed: A Novel Approach to Video Prediction
Luming Liang, Ilya Zharkov
October 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
October 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
Jingjing Liu
October 2024
What can Foundation Models’ Embeddings do?
Linjie Li, Jianwei Yang, Lijuan Wang
October 2024
Implicit Curriculum in Procgen Made Explicit
Kaixin Wang, Xinchao Wang
October 2024
Gorilla: Teaching LLMs to Use Tools
Xin Wang
October 2024
Energy-efficient Reinforcement Learning by Discovering Neural Pathways
October 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Yansen Wang, Zilong Wang
October 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
Xun Wu, Shaohan Huang, Furu Wei
October 2024