MiST: Understanding the Role of Mid-Stage Scientific Training in Developing Chemical Reasoning Models

By: Andres M Bran, Tong Xie, Shai Pranesh, Jeffrey Meng, Xuan Vu Nguyen, Jeremy Goumaz, David Ming Segura, Ruizhi Xu, Dongzhan Zhou, Wenjie Zhang, Bram Hoex, Philippe Schwaller

Published: 2025-12-25

View on arXiv →
#cs.AI

Abstract

This paper introduces MiST, a framework for understanding the impact of mid-stage scientific training on the development of chemical reasoning models. By improving these models, it has significant real-world potential in drug discovery, materials science, and chemical engineering, leading to more efficient and accurate scientific research.

FEEDBACK

Projects

No projects yet