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cs.CL2024
MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models
Michiko Yoshitake, Yuta Suzuki, Ryo Igarashi +2
A college-level benchmark dataset for large language models (LLMs) in the materials science field, MaterialBENCH, is constructed. This dataset consists of problem-answer pairs, bas…
cs.LG2024★ 5 cited
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki +4
Predicting physical properties of materials from their crystal structures is a fundamental problem in materials science. In peripheral areas such as the prediction of molecular pro…