Towards Effective Extraction and Evaluation of Factual Claims
Dasha Metropolitansky, Jonathan Larson
February 2025
Jonathan Larson
Partner Data Architect
Papiers de Collaboration
Publications par année
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A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems
Yanbang Wang, Karl Hallgren, Jonathan Larson
WWW '24: Companion Proceedings of the ACM on Web Conference 2024 | May 2024
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
April 2024
Synergistic Graph Fusion via Encoder Embedding
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
April 2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
Cencheng Sheng, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
IEEE Transactions on Network Science and Engineering | March 2024
-
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
November 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
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Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
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A Graph Embedding Approach to User Behavior Anomaly Detection
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
GTA³ 2.0: The 5th IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2021
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua Vogelstein, Jeffrey Weston, Chris White, Carey E. Priebe
April 2021
What a Year of WFH has done to our Relationships at Work
Nancy Baym, Jonathan Larson, Ronnie Martin
Harvard Business Review | March 2021
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Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
Electronic Journal of Statistics | September 2020, Vol 14(2): pp. 3230-3267
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing
Justin Chan, Landon Cox, Dean Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob Sunshine, Stefano Tessaro
IEEE Data Engineering Bulletin | July 2020, Vol 43(2): pp. 15-35
Learning to rank via combining representations
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
May 2020
Workgroup Mapping: Visual Analysis of Collaboration Culture
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
May 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
April 2020
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
Jonathan Larson, Darren Edge, Nathan Evans, Chris White
CHI | April 2020
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
Nathan Evans, Darren Edge, Jonathan Larson, Chris White
CHI | April 2020
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Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
Darren Edge, Jonathan Larson, Markus Mobius, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Using Web-Scale Graph Analytics to Counter Technical Support Scams
Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
Darren Edge, Jonathan Larson, Chris White
CHI 2018 Extended Abstracts | April 2018
Beyond Tasks: An Activity Typology for Visual Analytics
Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
Transactions on Visualization and Computer Graphics | January 2018, Vol 24(1): pp. 267-277
Filtre par zone de recherche
-
Towards Effective Extraction and Evaluation of Factual Claims
Dasha Metropolitansky, Jonathan Larson
February 2025
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems
Yanbang Wang, Karl Hallgren, Jonathan Larson
WWW '24: Companion Proceedings of the ACM on Web Conference 2024 | May 2024
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
April 2024
Synergistic Graph Fusion via Encoder Embedding
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
April 2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
Cencheng Sheng, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
IEEE Transactions on Network Science and Engineering | March 2024
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
November 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
A Graph Embedding Approach to User Behavior Anomaly Detection
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
GTA³ 2.0: The 5th IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2021
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua Vogelstein, Jeffrey Weston, Chris White, Carey E. Priebe
April 2021
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
Electronic Journal of Statistics | September 2020, Vol 14(2): pp. 3230-3267
Learning to rank via combining representations
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
May 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
April 2020
-
Towards Effective Extraction and Evaluation of Factual Claims
Dasha Metropolitansky, Jonathan Larson
February 2025
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
April 2024
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
-
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems
Yanbang Wang, Karl Hallgren, Jonathan Larson
WWW '24: Companion Proceedings of the ACM on Web Conference 2024 | May 2024
A Graph Embedding Approach to User Behavior Anomaly Detection
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
GTA³ 2.0: The 5th IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2021
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing
Justin Chan, Landon Cox, Dean Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob Sunshine, Stefano Tessaro
IEEE Data Engineering Bulletin | July 2020, Vol 43(2): pp. 15-35
-
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
Cencheng Sheng, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
IEEE Transactions on Network Science and Engineering | March 2024
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
-
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
Cencheng Sheng, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
IEEE Transactions on Network Science and Engineering | March 2024
Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
-
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
November 2023
-
What a Year of WFH has done to our Relationships at Work
Nancy Baym, Jonathan Larson, Ronnie Martin
Harvard Business Review | March 2021
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Workgroup Mapping: Visual Analysis of Collaboration Culture
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
May 2020
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
Nathan Evans, Darren Edge, Jonathan Larson, Chris White
CHI | April 2020
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
Jonathan Larson, Darren Edge, Nathan Evans, Chris White
CHI | April 2020
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
Darren Edge, Jonathan Larson, Markus Mobius, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Using Web-Scale Graph Analytics to Counter Technical Support Scams
Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
Darren Edge, Jonathan Larson, Chris White
CHI 2018 Extended Abstracts | April 2018
Beyond Tasks: An Activity Typology for Visual Analytics
Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
Transactions on Visualization and Computer Graphics | January 2018, Vol 24(1): pp. 267-277
-
What a Year of WFH has done to our Relationships at Work
Nancy Baym, Jonathan Larson, Ronnie Martin
Harvard Business Review | March 2021
-
Workgroup Mapping: Visual Analysis of Collaboration Culture
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
May 2020
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
Nathan Evans, Darren Edge, Jonathan Larson, Chris White
CHI | April 2020
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
Jonathan Larson, Darren Edge, Nathan Evans, Chris White
CHI | April 2020
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
Darren Edge, Jonathan Larson, Chris White
CHI 2018 Extended Abstracts | April 2018
Publication Type
-
-
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems
Yanbang Wang, Karl Hallgren, Jonathan Larson
WWW '24: Companion Proceedings of the ACM on Web Conference 2024 | May 2024
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
NeurIPS 2023 | October 2023
A Graph Embedding Approach to User Behavior Anomaly Detection
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
GTA³ 2.0: The 5th IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2021
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
Nathan Evans, Darren Edge, Jonathan Larson, Chris White
CHI | April 2020
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
Jonathan Larson, Darren Edge, Nathan Evans, Chris White
CHI | April 2020
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
Darren Edge, Jonathan Larson, Markus Mobius, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Using Web-Scale Graph Analytics to Counter Technical Support Scams
Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
Darren Edge, Jonathan Larson, Chris White
CHI 2018 Extended Abstracts | April 2018
-
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, Jonathan Larson
April 2024
Synergistic Graph Fusion via Encoder Embedding
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
April 2024
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
November 2023
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua Vogelstein, Jeffrey Weston, Chris White, Carey E. Priebe
April 2021
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Learning to rank via combining representations
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
May 2020
Workgroup Mapping: Visual Analysis of Collaboration Culture
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
May 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
April 2020
-
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
Cencheng Sheng, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
IEEE Transactions on Network Science and Engineering | March 2024
Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
What a Year of WFH has done to our Relationships at Work
Nancy Baym, Jonathan Larson, Ronnie Martin
Harvard Business Review | March 2021
Vertex Nomination, Consistent Estimation, and Adversarial Modification
Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
Electronic Journal of Statistics | September 2020, Vol 14(2): pp. 3230-3267
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing
Justin Chan, Landon Cox, Dean Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob Sunshine, Stefano Tessaro
IEEE Data Engineering Bulletin | July 2020, Vol 43(2): pp. 15-35
Beyond Tasks: An Activity Typology for Visual Analytics
Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
Transactions on Visualization and Computer Graphics | January 2018, Vol 24(1): pp. 267-277