LoRA Enables Modular Chemistry Prediction
Evaluates LoRA for parameter-efficient fine-tuning of LLMs on organic reaction datasets like USPTO and C-H functionalisation. Matches full fine-tuning accuracy while preserving multi-task performance and mitigating forgetting. Reveals distinct reactivity patterns for better adaptation.





