Codesota · Tasks · Video-Language ModelsHome/Tasks/General/Video-Language Models

Video-Language Models.

Video Language Models (Video LLMs) are advanced AI systems that combine large language models with video processing capabilities to understand and generate descriptive content from videos. They bridge the gap between visual and textual information by using special encoders to convert video data into a format that a standard text-based large language model (LLM) can process, enabling tasks like video analysis, content generation, and question answering about video content.

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Datasets
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Results
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§ 02 · Canonical benchmark

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§ 03 · Top 10

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§ 04 · All datasets

Tracked datasets.

19 datasets tracked for this task.

CG-Bench
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CinePile
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EgoLife
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EgoSchema
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LVBench
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MLVU
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MMVU
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MMWorld
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MVBench
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MVP
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PLM-VideoBench
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Perception Test
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TOMATO
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TempCompass
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TemporalBench (MBA-short QA)
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Video-MME
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Video-MMLU
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Video-MMMU
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VideoHolmes
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§ 05 · Related tasks

Other tasks in General.

Coding AgentsComputer Use AgentsEmbedding modelsGeneralOmni modelsReasoningReinforcement LearningRetrieval
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