2 papers
cs.LG2026
Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language
David Ming Segura, Jeremy Goumaz, Joshua W. Sin +3
Transformer models have revolutionized natural language processing (NLP), and text-based molecular representations like SMILES have successfully extended these architectures to che…
cs.LG2026
MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models
Andres M Bran, Tong Xie, Shai Pranesh +9
Large Language Models can develop reasoning capabilities through online fine-tuning with rule-based rewards. However, recent studies reveal a critical constraint: reinforcement lea…