Transformer model with response-time auxiliary input adapts reward models to unseen human preference domains via in-context learning from demonstrations.
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In-Context Reward Adaptation for Robust Preference Modeling
Transformer model with response-time auxiliary input adapts reward models to unseen human preference domains via in-context learning from demonstrations.