2 papers
cs.LG2026
Hessian-informed machine learning interatomic potential towards bridging theory and experiments
Bangchen Yin, Jian Ouyang, Zhen Fan +7
Local curvature of potential energy surfaces is critical for predicting certain experimental observables of molecules and materials from first principles, yet it remains far beyond…
cs.CL2025
How Much of Your Data Can Suck? Thresholds for Domain Performance and Emergent Misalignment in LLMs
Jian Ouyang, Arman T, Ge Jin
This paper investigates the impact of incorrect data on the performance and safety of large language models (LLMs), specifically gpt-4o, during supervised fine-tuning (SFT). Althou…