HoneyBee: Progressive Instruction Finetuning of Large Language Models
for Materials Science

HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science

12 October 2023

Yu Song

Huan Zhang

Bang Liu

Papers citing "HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science"

6 / 6 papers shown

Title
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents Shrinidhi Kumbhar Venkatesh Mishra Kevin Coutinho Divij Handa Ashif Iquebal Chitta Baral 67 5 0 23 Jan 2025
Are LLMs Ready for Real-World Materials Discovery? Santiago Miret N. M. A. Krishnan 35 27 0 07 Feb 2024
Emergent autonomous scientific research capabilities of large language models Daniil A. Boiko R. MacKnight Gabe Gomes ELM LM&Ro AI4CE LLMAG 101 117 0 11 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,909 0 04 Mar 2022
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction Tanishq Gupta Mohd Zaki N. M. A. Krishnan Mausam 44 176 0 30 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021