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Models/LaMolT5-Base

LaMolT5-Base

Reported on 7 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical7 results

  • Molecule CaptioningonChEBI-20
    BLEU-2· 2025-02-10
    57.4
    best: 73.2 (Mol-LLM (Mistral-Instruct-v0.2))
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    BLEU-4· 2025-02-10
    48.5
    best: 60.8 (MolReFlect)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    METEOR· 2025-02-10
    59.6
    best: 68.1 (BioT5+)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    ROUGE-1· 2025-02-10
    63.4
    best: 71 (BioT5+)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    ROUGE-2· 2025-02-10
    47.8
    best: 61.8 (XMolCap)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    ROUGE-L· 2025-02-10
    56.4
    best: 65.3 (PEIT-GEN)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634
  • Molecule CaptioningonChEBI-20
    Text2Mol· 2025-02-10
    59.9
    best: 60.3 (BioT5)
    Automatic Annotation Augmentation Boosts Translation between Molecules and Natural LanguagearXiv:2502.06634