Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
Wenlong Deng · YI REN · Yushu Li · Boying Gong · Danica Sutherland · Xiaoxiao Li · Christos Thrampoulidis
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Wenlong Deng · YI REN · Yushu Li · Boying Gong · Danica Sutherland · Xiaoxiao Li · Christos Thrampoulidis
Minghui Chen · Wenlong Deng · James Y Zou · Han Yu · Xiaoxiao Li
Wenlong Deng · Qi Zeng · Jiaming Zhang · Minghui Chen · Zixin Ding · Christos Thrampoulidis · Boying Gong · Xiaoxiao Li
Data valuation is essential for enhancing the transparency and accountability of large language models (LLMs) and vision-language models (VLMs). However, existing methods typically rely on gradient computations, making them computationally prohibitive for billion-parameter models and precluding b...
Zixin Ding · Qi Zeng · Boying Gong · Wenlong Deng · Bo Pan · Yuxin Chen
While prompt engineering offers effective control over Text-to-Image (T2I) generation, it remains labor-intensive for large-scale production. We present PRISM-DUEL, a black-box framework that formalizes prompt optimization as Automatic Prompt Engineering (APE), motivated by advertising workflows...