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arXiv — cs.AI

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ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment

arXiv:2610.33432v1 Announce Type: new Abstract: Long-term memory is critical for autonomous Large Language Model (LLM) agents executing multi-session, long-horizon tasks. However, existing memories often inappropriately store, retain, or retrieve over-generalized, misattributed,…

arXiv — cs.AIBy: Shuning Zhang, Tenghao Ji, Jingruo Chen, Eryue Xu, Bohao Chu, Xin YiOctober 27, 2026 (yesterday)
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  • arXiv:2610.33432v1 Announce Type: new Abstract: Long-term memory is critical for autonomous Large Language Model (LLM) agents executing multi-session, long-horizon tasks
  • However, existing memories often inappropriately store, retain, or retrieve over-generalized, misattributed,…
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ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment

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