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cs.AI2025
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
Siddharth Mehrotra, Jin Huang, Xuelong Fu +3
Background: Trustworthy AI serves as a foundational pillar for two major AI ethics conferences: AIES and FAccT. However, current research often adopts techno-centric approaches, fo…
cs.AI2025
Query Decomposition for RAG: Balancing Exploration-Exploitation
Roxana Petcu, Kenton Murray, Daniel Khashabi +4
Retrieval-augmented generation (RAG) systems address complex user requests by decomposing them into subqueries, retrieving potentially relevant documents for each, and then aggrega…
cs.AI2025
What if Othello-Playing Language Models Could See?
Xinyi Chen, Yifei Yuan, Jiaang Li +3
Language models are often said to face a symbol grounding problem. While some have argued the problem can be solved without resort to other modalities, many have speculated that gr…