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

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Showing 41–50 of 85 papers

TitleStatusHype
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
PPLLaVA: Varied Video Sequence Understanding With Prompt GuidanceCode2
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLMCode2
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded TuningCode2
Understanding Long Videos with Multimodal Language ModelsCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosCode2
Language Repository for Long Video UnderstandingCode1
Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot VideosCode1
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