CheMM-R1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models (2026.findings-acl)
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| Challenge: | Existing multimodal large language models lack domain-specific expertise to perform chemical tasks. |
| Approach: | They propose a benchmark dataset for evaluating multi-step multimodal reasoning capacities in the chemistry domain. |
| Outcome: | The proposed model surpasses existing models in all CheMM-Bench tasks. |
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