BangLab-UdeM-Mila

NLP4MatSci-HoneyBee. This repository contains the implementation for our EMNLP 2023 paper: HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

NLP4MatSci-ACL23. This repository contains the dataset and code for our ACL'23 publication: "MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling"

NLP4MatSci-HoneyComb. Python

MatExpert. This is the implementation to our ICLR'25 work: "MatExpert: Decomposing Materials Discovery by Mimicking Human Experts"

WorldGen. Generating physically grounded 3D environments

ai4matsci.github.io. This repository contains our research work on AI techniques (especially NLP) for materials science.