SOTAVerified

Zero-Shot Video Question Answer

This task present the results of Zeroshot Question Answer results on TGIF-QA dataset for LLM powered Video Conversational Models.

Papers

Showing 4150 of 85 papers

TitleStatusHype
VideoAgent: Long-form Video Understanding with Large Language Model as AgentCode2
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosCode2
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsCode2
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video UnderstandingCode2
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
VideoMultiAgents: A Multi-Agent Framework for Video Question AnsweringCode1
Agentic Keyframe Search for Video Question AnsweringCode1
Show:102550
← PrevPage 5 of 9Next →

No leaderboard results yet.