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Xiangcong Yang

1 accepted papers

2026

Grounded Chain-of-Thought for Multimodal Large Language Models

CVPR 2026

Despite great progress, existing multimodal large language models (MLLMs) are still inferior in visual-spatial reasoning, which greatly impedes their trustworthy applications in scenarios such as Embodied AI. To facilitate the research, we propose a new MLLM task in this paper, called Grounded Chain

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