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cs.LG2024★ 1 cited
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang, Skyler Seto, Samira Abnar +3
Large pretrained vision-language models like CLIP have shown promising generalization capability, but may struggle in specialized domains (e.g., satellite imagery) or fine-grained…
cs.LG2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
Yong Lin, Skyler Seto, Maartje ter Hoeve +6
Reinforcement Learning from Human Feedback (RLHF) is an effective approach for aligning language models to human preferences. Central to RLHF is learning a reward function for scor…