1 citations · 1 across the 5 of their papers we have counts for
5 papers
Decoupling Perception from Reasoning for Hallucination-Resistant Video Understanding
Bowei Pu, Chuanbin Liu, Yifan Ge +5
Video Large Language Models improve reasoning over complex videos by generating intermediate reasoning text. However, reliable reasoning depends on accurate video perception. In ex…
RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding
Yinglu Li, Zhiying Lu, Zhihang Liu +3
Multi-modal Retrieval-Augmented Generation (RAG) has become a critical method for empowering LLMs by leveraging candidate visual documents. However, current methods consider the en…
From Evaluation to Defense: Advancing Safety in Video Large Language Models
Yiwei Sun, Peiqi Jiang, Chuanbin Liu +3
While the safety risks of image-based large language models (Image LLMs) have been extensively studied, their video-based counterparts (Video LLMs) remain critically under-examined…
Hallucination Mitigation Prompts Long-term Video Understanding
Yiwei Sun, Zhihang Liu, Chuanbin Liu +3
Recently, multimodal large language models have made significant advancements in video understanding tasks. However, their ability to understand unprocessed long videos is very lim…
An Ontology-Aware Framework for Audio Event Classification
Yiwei Sun, Shabnam Ghaffarzadegan
Recent advancements in audio event classification often ignore the structure and relation between the label classes available as prior information. This structure can be defined by…