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20242026
most citedMeasuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

2 citations · 3 across the 4 of their papers we have counts for

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cs.CR2026

AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories

Ruoxi Shang, Christina-Maria Androna, Orfeas Menis Mastromichalakis +6

LLM agents are increasingly taking actions with real consequences, yet safety evaluations often reduce their behavior to a final safe/unsafe outcome, obscuring whether the agent re…