Hunter Heidenreich

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Natural Language Processing (1)Scientific Discovery & Drug Design (1)

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Jul 6, 2026

H. Heidenreich +11w ago

Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES

Unigram-LM outperforms BPE by segmenting chemical structures into 29-41% more tokens, revealing the critical impact of tokenizer choice on model performance.

H. Heidenreich, Hunter Heidenreich

Natural Language Processing Scientific Discovery & Drug Design

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Hunter Heidenreich

Publication activitypapers/week, last 8 weeks

Research focus

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Papers (1)