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Are We on the Right Way for Evaluating Large Vision-Language Model?
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2026-02-07 18:43:19
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MMStar More Research ShareGPT4V ShareGPT4Video Are We on the Right Way for Evaluating Large Vision-Language Models? NeurIPS 2024 Lin Chen * §1,3 , Jinsong Li * §2,3 , Xiaoyi Dong 2,3 , Pan Zhang 3 , Yuhang Zang 3 , Zehui Chen 1 , Haodong Duan 3 , Jiaqi Wang †3 , Yu Qiao 3 , Dahua Lin 2,3 , Feng Zhao †1 ▶ 1 University of Science and Technology of China ▶ 2 The Chinese University of Hong Kong ▶ 3 Shanghai Artificial Intelligence Laboratory * Equal contribution. † Corresponding authors. § Work done during an internship in Shanghai Artificial Intelligence Laboratory. arXiv Code 🤗 Dataset 🏆 MMStar Leaderboard 🚀 Two Key Issues that Lead to Misjudgment of LVLM Capability 🚀 An Elite Vision-indispensable Multi-modal Benchmark, MMStar . 🚀 Two Metrics: Multi-modal Gain (MG) and Multi-modal Leakage (ML) 🔥 What's New [2024.09.26] 🎉🎉🎉 MMStar is accepted by NeurIPS ...
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