ChemVLR prioritizes reasoning in perception for chemical VLMs by identifying descriptors such as functional groups before generating answers, using a 760k curated dataset and three-stage training to reach SOTA performance.
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ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding
ChemVLR prioritizes reasoning in perception for chemical VLMs by identifying descriptors such as functional groups before generating answers, using a 760k curated dataset and three-stage training to reach SOTA performance.