Papers with SpectraQA

1 papers
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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