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soft-prompting

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stormtroober / GliNerBioMed-Label-SoftPrompt

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Comparative study of parameter-efficient fine-tuning (PEFT) strategies for biomedical NER on top of GLiNER — including soft prompt tuning, embedding injection, and a custom in-place embedding extension that matches full fine-tuning performance at 13% of trainable parameters.

transformers named-entity-recognition optuna bi-encoder cross-encoder prompt-tuning biomedical-nlp parameter-efficient-fine-tuning gliner soft-prompting
  • Updated Mar 18, 2026
  • Python

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