Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs
Zixuan Ren · Jinliang Lu · Junhong Wu · Yang Zhao · Dai Dai · hua wu · Haifeng Wang · Chengqing Zong
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Zixuan Ren · Jinliang Lu · Junhong Wu · Yang Zhao · Dai Dai · hua wu · Haifeng Wang · Chengqing Zong
Jing Ye · Lu Xiang · Yaping Zhang · Chengqing Zong
Current evaluation paradigms for emotional support conversations tend to reward generic empathetic responses, yet they fail to assess whether the support is genuinely personalized to users’ unique psychological profiles and contextual needs. We introduce EmoHarbor , an automated evaluation framew...
Boyu Guan · Chuang Han · Yang Zhao · Chengqing Zong
Video-guided Machine Translation (VMT) seeks to enhance translation quality by incorporating contextual information derived from paired short video clips. However, many VMT samples are text-sufficient; even when visual information is needed, only minimal cues are required. Aiming to tackle these...