Smiles
PulseAugur coverage of Smiles — every cluster mentioning Smiles across labs, papers, and developer communities, ranked by signal.
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New benchmark MolRecBench-Wild challenges real-world chemical structure recognition
Researchers have introduced MolRecBench-Wild, a new benchmark designed to evaluate Optical Chemical Structure Recognition (OCSR) systems on real-world chemical diagrams from scientific literature. This benchmark address…
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MolReFlect framework aligns molecules and text for better LLM understanding
Researchers have developed MolReFlect, a novel teacher-student framework designed to improve the alignment between molecular structures and textual descriptions. This approach enables large language models to learn fine…
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COMO framework uses minimum risk training for optical molecule recognition
Researchers have introduced COMO, a novel closed-loop framework for optical chemical structure recognition. This system utilizes Minimum Risk Training (MRT) to address the exposure bias inherent in traditional teacher-f…