Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use
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 evaluations assess memory capabilities without directly establishing whether memory use benefits the user. To st...
Yijiang River Dong, Ze-Xue He, Cheng Yu et al.
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