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Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use.

arXiv:2610.31272v1 Announce Type: cross Abstract: Memory enables language model assistants to maintain continuity across sessions and generate personalized responses, but knowing more about a user does not necessarily produce responses they prefer. Existing ev

arXiv cs.AIResearch source·