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cs.AI2026
EpiSEM-Bench: Evaluating Safety and Evidence Recovery in LLM Agents under Missing Evidence
Qijin Zhang, Hanzhen Wang, Yuehan Zhao +4
Tool-using language model agents rely on environmental facts to decide whether an action is permitted. When a tool response omits a safety-relevant fact, an agent may carry out a p…
cs.AI2025
SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs
Jiaming Xu, Jiayi Pan, Hanzhen Wang +4
In this paper, we point out that the objective of the retrieval algorithms is to align with the LLM, which is similar to the objective of knowledge distillation in LLMs. We analyze…