In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow.
As Retrieval-Augmented Generation (RAG) systems gain prominence for grounding large language models (LLMs) in external knowledge, constructing evaluation frameworks is critical in accelerating developments across multiple diverse languages. This talk introduces a comprehensive multilingual RAG…
PIKE-RAG (sPecIalized KnowledgE and Rationale Augmented Generation) framework mainly consists of several basic modules, including document parsing, knowledge extraction, knowledge storage, knowledge retrieval, knowledge organization, knowledge-centric reasoning, and task decomposition and coordination while building coherent…
Structured Entity Extraction and the Approximate Entity Set OverlaP (AESOP) metric are designed to appropriately assess model performance.
