P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling
Pinyi Zhang · Ting-En Lin · Yuchuan Wu · Jingyang Chen · Zongqi Wang · Hua Yang · Bing Zhao · Fei Huang · Yongbin Li · Kai Zhang
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Pinyi Zhang · Ting-En Lin · Yuchuan Wu · Jingyang Chen · Zongqi Wang · Hua Yang · Bing Zhao · Fei Huang · Yongbin Li · Kai Zhang
Junjie Zhang · Guozheng Ma · Shunyu Liu · Haoyu Wang · Jiaxing Huang · Ting-En Lin · Fei Huang · Yongbin Li · Dacheng Tao
Feiteng Fang · Dingwei Chen · Xiang Huang · Ting-En Lin · Yuchuan Wu · Xiong Liu · Jing Ye · Ziqiang Liu · Haonan Zhang · Liang Zhu · Hamid Alinejad-Rokny · Min Yang · Yongbin Li
Currently, most reinforcement learning tasks focus on domains like mathematics and programming, where verification is relatively straightforward. However, in subjective tasks such as role-playing, alignment techniques struggle to make progress, primarily because subjective reward modeling using t...
Zetian Hu · Shunyu Liu · Ting-En Lin · Fei Huang · Yongbin Li · Dacheng Tao
Recent work has aimed to enhance the reasoning capabilities of language models, but these methods are often limited to domains with objectively verifiable answers. To overcome this limitation, we introduce Reasoning-Guided Exploration for Online DPO (RGE-DPO), a novel self-play framework designed...