2 citations · 6 across the 18 of their papers we have counts for
5 papers · 1 filter
SLVMBench: Skill Learning from Video Memory
Yudong Yang, Guangzhi Sun, Yixuan Li +1
We introduce Skill Learning from Video Memory (SLVMBench), the first benchmark that jointly evaluates whether video large language models (video-LLMs) can learn skills from long vi…
video-SALMONN-R: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding
Yixuan Li, Guangzhi Sun, Yudong Yang +1
Video large language models (LLMs) are often constrained by computation and memory budgets, leading them to use reduced frame rates and spatial resolutions, which may cause them to…
OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs
Guangzhi Sun, Yixuan Li, Yudong Yang +1
Audio-visual large language models (LLMs) hold strong promise for long-form video understanding, yet their long-video inference is fundamentally limited by the linear growth of vid…
Learning to Attend to Depression-Related Patterns: An Adaptive Cross-Modal Gating Network for Depression Detection
Hangbin Yu, Yudong Yang, Rongfeng Su +2
Automatic depression detection using speech signals with acoustic and textual modalities is a promising approach for early diagnosis. Depression-related patterns exhibit sparsity i…
From Speech to Profile: A Protocol-Driven LLM Agent for Psychological Profile Generation
Xingjian Yang, Yudong Yang, Zhixing Guo +3
The psychological profile that structurally documents the case of a depression patient is essential for psychotherapy. Large language models can be applied to summarize the profile…