4 papers
StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning
Xuanyue Zhong, Yuqiang Xie, Guanqun Bi +2
Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see \textit{what is happening} but fail to reason \textit{why it matt…
A Group Fairness Lens for Large Language Models
Guanqun Bi, Yuqiang Xie, Lei Shen +1
The need to assess LLMs for bias and fairness is critical, with current evaluations often being narrow, missing a broad categorical view. In this paper, we propose evaluating the b…
MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge through Group Direct Preference Optimization
Lanxue Zhang, Yuqiang Xie, Fang Fang +3
Large Language Models demonstrate strong reasoning capabilities, which can be effectively compressed into smaller models. However, existing datasets and fine-tuning approaches stil…
MAGI: Multi-Agent Guided Interview for Psychiatric Assessment
Guanqun Bi, Zhuang Chen, Zhoufu Liu +9
Automating structured clinical interviews could revolutionize mental healthcare accessibility, yet existing large language models (LLMs) approaches fail to align with psychiatric d…