Author

Hui Xiong

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#artificial intelligence Preprint Oct 2026

MemCut: Every Secret Leaves a Trail in the Long-Term Memory of LLM Agents

Long-term memory has become a crucial component of large language model (LLM) agents, with most research focusing on retrieving relevant information accurately and efficiently. However, a dependable memory system must also forget sensitive user data upon request. To evaluate this capability, we introduce MemCut, a syst...

Cheng Zhang, Xuan-Ning Cao, Zhi-Cheng Zheng et al. · 1 citation

#artificial intelligence Preprint Oct 2026

Rollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy Limits

Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and tool-use in interactive environments. However, existing agent RL methods remain fundamentally constrained by an on-policy reasoning bottleneck: when tasks exceed the mode...

Xi Chen, Rui-Xue Ding, Zhigaoyuan Wang et al. · 0 citations