7 citations · 19 across the 4 of their papers we have counts for
4 papers
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
Qianggang Ding, Santiago Miret, Bang Liu
Material discovery is a critical research area with profound implications for various industries. In this work, we introduce MatExpert, a novel framework that leverages Large Langu…
HoneyComb: A Flexible LLM-Based Agent System for Materials Science
Huan Zhang, Yu Song, Ziyu Hou +2
The emergence of specialized large language models (LLMs) has shown promise in addressing complex tasks for materials science. Many LLMs, however, often struggle with distinct comp…
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Yu Song, Santiago Miret, Huan Zhang +1
We propose an instruction-based process for trustworthy data curation in materials science (MatSci-Instruct), which we then apply to finetune a LLaMa-based language model targeted…
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Yu Song, Santiago Miret, Bang Liu
We present MatSci-NLP, a natural language benchmark for evaluating the performance of natural language processing (NLP) models on materials science text. We construct the benchmark…