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·