benchmark evaluation 1intermediate visual states 1large language models 1multimodal models 1visual reasoning 1
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cs.CV2026
See2Think: Do Multimodal Models Really Use Intermediate Visual States?
Siyu Yan, Zhuoran Yan, Haiying Xu +10
The paper presents See2Think, an evaluation framework and benchmark for testing whether multimodal large language models actually use intermediate visual states during reasoning, a…
cs.CV2025
LOVA3: Learning to Visual Question Answering, Asking and Assessment
Henry Hengyuan Zhao, Pan Zhou, Difei Gao +2
Question answering, asking, and assessment are three innate human traits crucial for understanding the world and acquiring knowledge. By enhancing these capabilities, humans can mo…
cs.CV2024
Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator
Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
Multimodal Large Language Models (MLLMs) demonstrate exceptional problem-solving capabilities, but few research studies aim to gauge the ability to generate visual instruction tuni…