Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation
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DOI: 10.1109/access.2025.3636927
Abstract: Multimodal Chain-of-Thought (MCoT) has become an effective strategy for enhancing multimodal large-language models (MLLMs) by breaking down complex tasks into sequential reasoning steps. Despite its interpretability benefits, MCoT often encounters difficulties with fine-grained semantic grounding,… read more here.
Keywords: chain thought; multimodal chain; multimodal; fine grained ... See more keywords