MMVetGPT4Turbo

MM-Vet evaluation using GPT-4 Turbo for scoring. This variant of MM-Vet examines large multimodal models on complicated multimodal tasks requiring integrated capabilities across six core vision-language abilities: recognition, knowledge, spatial awareness, language generation, OCR, and math.

Qwen2-VL-72B-Instruct from Alibaba Cloud / Qwen Team currently leads the MMVetGPT4Turbo leaderboard with a score of 0.740 across 1 evaluated AI models.

Paper

Alibaba Cloud / Qwen TeamQwen2-VL-72B-Instruct leads with 74.0%.

Progress Over Time

Interactive timeline showing model performance evolution on MMVetGPT4Turbo

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MMVetGPT4Turbo Leaderboard

1 models
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1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
73B
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FAQ

Common questions about MMVetGPT4Turbo.

What is the MMVetGPT4Turbo benchmark?

MM-Vet evaluation using GPT-4 Turbo for scoring. This variant of MM-Vet examines large multimodal models on complicated multimodal tasks requiring integrated capabilities across six core vision-language abilities: recognition, knowledge, spatial awareness, language generation, OCR, and math.

What is the MMVetGPT4Turbo leaderboard?

The MMVetGPT4Turbo leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Qwen2-VL-72B-Instruct by Alibaba Cloud / Qwen Team leads with a score of 0.740. The average score across all models is 0.740.

What is the highest MMVetGPT4Turbo score?

The highest MMVetGPT4Turbo score is 0.740, achieved by Qwen2-VL-72B-Instruct from Alibaba Cloud / Qwen Team.

How many models are evaluated on MMVetGPT4Turbo?

1 models have been evaluated on the MMVetGPT4Turbo benchmark, with 0 verified results and 1 self-reported results.

Where can I find the MMVetGPT4Turbo paper?

The MMVetGPT4Turbo paper is available at https://arxiv.org/abs/2308.02490. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does MMVetGPT4Turbo cover?

MMVetGPT4Turbo is categorized under general, math, multimodal, reasoning, spatial reasoning, and vision. The benchmark evaluates multimodal models.

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