1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs
Gengyuan Zhang, Mingcong Ding, Tong Liu +2
Multimodal large language models (MLLMs) have demonstrated strong performance in understanding videos holistically, yet their ability to process streaming videos-videos are treated…
cs.CL2024
Visual Question Decomposition on Multimodal Large Language Models
Haowei Zhang, Jianzhe Liu, Zhen Han +5
Question decomposition has emerged as an effective strategy for prompting Large Language Models (LLMs) to answer complex questions. However, while existing methods primarily focus…
cs.CV2024★ 1 cited
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
Ruotong Liao, Max Erler, Huiyu Wang +4
In the video-language domain, recent works in leveraging zero-shot Large Language Model-based reasoning for video understanding have become competitive challengers to previous end-…