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cs.CL2026
Remember by Asking: Retrieval-Induced Memory Evolution for LLM Agents
Wanqi Zhou, Jiawei Lu, Yang Wang +4
Long-term memory is essential for language agents to maintain coherent and effective behavior over extended, multi-session interactions. Existing memory systems mainly use retrieva…
cs.CL2026
Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
Yu Li, Xiuyu Li, Mingyang Yi +4
Reinforcement learning (RL) post-training for large language models (LLMs) follows a efficient paradigm of "rollout then update", which inevitably results in off-policy training da…