output
20232026
most citedProbing out-of-distribution generalization in machine learning for materials

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024 · cond-mat.mtrl-sciShow all

2 papers · 2 filters

cond-mat.mtrl-sci2024★ 16 cited

LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction

Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers +1

Large language models (LLMs) are increasingly being used in materials science. However, little attention has been given to benchmarking and standardized evaluation for LLM-based ma…

cond-mat.mtrl-sci2024★ 63 cited

Probing out-of-distribution generalization in machine learning for materials

Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei +5

Scientific machine learning (ML) endeavors to develop generalizable models with broad applicability. However, the assessment of generalizability is often based on heuristics. Here,…