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cs.CV2026
SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration
Zhongyu Yang, Zuhao Yang, Shuo Zhan +3
Video question answering (VideoQA) is a challenging task that requires integrating spatial, temporal, and semantic information to capture the complex dynamics of video sequences. A…
cs.CV2025
InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration
Zhongyu Yang, Yingfang Yuan, Xuanming Jiang +2
Hallucination remains a critical challenge in large language models (LLMs), hindering the development of reliable multimodal LLMs (MLLMs). Existing solutions often rely on human in…
cs.CV2025
Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models
Zhongyu Yang, Dannong Xu, Wei Pang +1
The rapid growth of visual tokens in multimodal large language models (MLLMs) leads to excessive memory consumption and inference latency, especially when handling high-resolution…