Hallucinations Improve LLMs in Drug Discovery
First page

Paper summary
Claims that LLMs can achieve better performance in drug discovery tasks with text hallucinations compared to input prompts without hallucination. Llama-3.1-8B achieves an 18.35% gain in ROC-AUC compared to the baseline without hallucination. In addition, hallucinations generated by GPT-4o provide the most consistent improvements across models.