Measuring Chemical LLM robustness to molecular representations: a SMILES variation-based framework
2025 · Journal of Cheminformatics · 2 citations
https://doi.org/10.1186/s13321-025-01079-0
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Kuzma Khrabrov is an academic researcher from Institute on Taxation and Economic Policy. The author has contributed to research in topics: Computational Drug Discovery Methods & Machine Learning in Materials Science & Cell Image Analysis Techniques. The author has an h-index of 3, co-authored 8 publications.
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