Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Modular Multi-Task Learning for Chemical Reaction Prediction
Jiayun Pang, Ahmed M. Zaitoun, Xacobe Couso Cambeiro +1
Adapting large language models (LLMs) trained on broad organic chemistry to smaller, domain-specific reaction datasets is a key challenge in chemical and pharmaceutical R&D. Effect…
cs.LG2025
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
Lucas Caccia, Alan Ansell, Edoardo Ponti +2
Dynamically integrating new or rapidly evolving information after (Large) Language Model pre-training remains challenging, particularly in low-data scenarios or when dealing with p…