BioRENLI: enhancing large language models for biomedical relation extraction through preference-aligned natural language inference
Experimental results show that BioRENLI consistently outperforms supervised fine-tuned LLM variants in both full-supervision and low-resource settings, while remaining competitive with strong BERT-based baselines, highlighting the effectiveness of enhancing biomedical RE with preference-aligned NLI.