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Models/Qwen2-VL-72B

Qwen2-VL-72B

Reported on 9 benchmarks across 5 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing8 results

  • Relation ExtractiononVinoground
    Text Score· 2024-09-18
    50.4
    best: 59.2 (GPT-4o (CoT))
    SOTA
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Temporal Relation ExtractiononVinoground
    Text Score· 2024-09-18
    50.4
    best: 59.2 (GPT-4o (CoT))
    SOTA
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Relation ExtractiononVinoground
    Group Score· 2024-09-18
    17.4
    best: 35 (GPT-4o (CoT))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Relation ExtractiononVinoground
    Video Score· 2024-09-18
    32.6
    best: 51 (GPT-4o (CoT))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Visual Question Answering (VQA)onMM-Vet
    GPT-4 score· 2024-09-18
    74
    best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Temporal Relation ExtractiononVinoground
    Group Score· 2024-09-18
    17.4
    best: 35 (GPT-4o (CoT))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Temporal Relation ExtractiononVinoground
    Video Score· 2024-09-18
    32.6
    best: 51 (GPT-4o (CoT))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191
  • Visual Question AnsweringonMM-Vet
    GPT-4 score· 2024-09-18
    74
    best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191

Reasoning1 result

  • Video Question AnsweringonTVBench
    Average Accuracy· 2024-09-18
    52.7
    best: 63.6 (Seed1.5-VL thinking)
    Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191