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

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

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, or privacy-sensitiv…

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  1. 2026-10-27 04:00 · arXiv cs.AI
    ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment

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