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The emergence of specialized large language models (LLMs) has shown promise in addressing complex tasks for materials science.
Chemdataextractor: a toolkit for automated extraction of chemical information from the scientific literature
Matthew C Swain and Jacqueline M Cole. 2016 · 1904
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Andrew Trotman, Antti Puurula, and Blake Burgess. 2014 · 2014
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Crowdsourcing multiple choice science questions
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Olga Kononova, Tanjin He, Haoyan Huo, Amalie Trewartha, Elsa A Olivetti, and Gerbrand Ceder. 2021 · 2021
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The impact of domain-specific pre-training on named entity recognition tasks in materials science
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Bertopic: Neural topic modeling with a class-based tf-idf procedure
Maarten Grootendorst. 2022 · 2022
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Matscibert: A materials domain language model for text mining and information extraction
Tanishq Gupta, Mohd Zaki, NM Krishnan, et al. 2022 · 2022
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Unsupervised dense information retrieval with contrastive learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave. 2022 · 2022
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The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
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Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes. 2023 · 2023
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Chemcrow: Augmenting large-language models with chemistry tools
Andres M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller. 2023 · 2023
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I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu, et al. 2023 · 2023
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Anastasios Giannaros, Aristeidis Karras, Leonidas Theodorakopoulos, Christos Karras, Panagiotis Kranias, Nikolaos Schizas, Gerasimos Kalogeratos, and Dimitrios Tsolis. 2023 · 2023
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14 examples of how llms can transform materials science and chemistry: a reflection on a large language model hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D Bocarsly, Andres M Bran, Stefan Bringuier, L Catherine Brinson, Kamal Choudhary, Defne Circi, et al. 2023 · 2023
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Langchain: Open-source library for building language-based agents
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Mohd Zaki, Jayadeva, Mausam, and N. M. Anoop Krishnan. 2023 · 2023
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Llama 3 model card
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Gate 2023: Graduate aptitude test in engineering
Indian Institute of Technology Kanpur. 2023 · 2024
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Ali Madani, Ben Krause, Eric R. Greene, Subu Subramanian, Benjamin P. Mohr, James M. Holton, Jose Luis Olmos, Caiming Xiong, Zachary Z. Sun, Richard Socher, James S. Fraser, and Nikhil Naik. 2023 · 2023
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Perspective on ai for accelerated materials design at the ai4mat-2023 workshop at neurips 2023
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Honeybee: Progressive instruction finetuning of large language models for materials science
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Scibench: Evaluating college-level scientific problem-solving abilities of large language models
Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, and Wei Wang. 2023 · 2023
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Darwin series: Domain specific large language models for natural science
Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, et al. 2023 · 2023
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Large language models for chemistry robotics
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A survey on large language model based autonomous agents
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Take a step back: Evoking reasoning via abstraction in large language models
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