Author

Michael J. Ryan

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#artificial intelligence Preprint Oct 2026

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. · 0 citations

#artificial intelligence Preprint Sep 2026

Efficient Test-Time Adaptation through Human-AI Interaction

This work proposes test-time adaptation through human-agent interaction (TAHI), which integrates these signals into agent context and weights, and crystallizes each user's training and evaluation criteria via an evolving rubric module.

Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao et al. · 0 citations