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cs.CL2026
LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents
Xingjun Wang, Gongsheng Li, Qi Fan +3
LLM agents increasingly answer questions over dynamic raw-document collections, where files may change before preprocessing, and relevant evidence (spans, sections, pages, or table…
cs.AI2026
Which Tokens Matter? Adaptive Token Selection for RLVR with the Relative Surprisal Index
Outongyi Lv, Yanzhao Zheng, Yuanwei Zhang +5
Reinforcement learning (RL) has become a powerful tool for propelling Large Language Models (LLMs) beyond imitation-based training towards more robust reasoning capabilities. Among…