Video Question Answering On Next Qa

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
LinVT-Qwen2-VL (7B)	85.5	LinVT: Empower Your Image-level Large Language Model to Understand Videos
InternVL-2.5(8B)	85.5	Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
VideoLLaMA3(7B)	84.5	VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
BIMBA-LLaVA-Qwen2-7B	83.73	BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
LLaVA-Video	83.2	Video Instruction Tuning With Synthetic Data	-
NVILA(8B)	82.2	NVILA: Efficient Frontier Visual Language Models
Oryx-1.5(7B)	81.8	Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Qwen2-VL(7B)	81.2	Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
LongVILA(7B)	80.7	LongVILA: Scaling Long-Context Visual Language Models for Long Videos
LLaVA-OV(72B)	80.2	LLaVA-OneVision: Easy Visual Task Transfer
VideoChat2_HD_mistral	79.5	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
LLaVA-OV(7B)	79.4	LLaVA-OneVision: Easy Visual Task Transfer
LLaVA-NeXT-Interleave(14B)	79.1	LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
VideoChat2_mistral	78.6	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
mPLUG-Owl3(8B)	78.6	mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
LLaVA-NeXT-Interleave(7B)	78.2	LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
LLaVA-NeXT-Interleave(DPO)	77.9	LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Vamos	77.3	Vamos: Versatile Action Models for Video Understanding
ViLA (3B)	75.6	ViLA: Efficient Video-Language Alignment for Video Question Answering
VideoLLaMA2.1(7B)	75.6	VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

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