Zhenyu Sun
1 indexed paper
Recent (6 mo)
1With code
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2026
In-Context Reward Adaptation for Robust Preference Modeling
The paper proposes In-Context Reward Adaptation, a transformer-based framework that uses in-context learning and auxiliary signals (like human response time) to robustly model diverse and unseen human preferences for better AI alignment.
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