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[Nature Articles] Solving olympiad geometry without human demonstrations link, 2024.01
Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong
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[ICLR2024] Llemma: An Open Language Model For Mathematics. , 2023.10
Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck
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[ICLR2024] Lego-prover: Neural theorem proving with growing libraries , 2023.10
Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang
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[ESEC2023] Baldur: Whole-Proof Generation and Repair with Large Language Models , 2023.03
Emily First, Markus N. Rabe, Talia Ringer, Yuriy Brun
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[ICLR2023] Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs , 2022.10
Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, Guillaume Lample
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[ICLR2023] Formal mathematics statement curriculum learning , 2022.02
Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever
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[ACL2023] DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function , 2023.12
Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang
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[NeurIPS2023] LeanDojo: Theorem Proving with Retrieval-Augmented Language Models , 2023.06
Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar
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[Preprint] Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving , 2023.05
Xueliang Zhao, Wenda Li, Lingpeng Kong
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[NeurIPS2022] Thor: Wielding hammers to integrate language models and automated theorem provers , 2022.05
Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś, Yuhuai Wu, Mateja Jamnik
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[NeurIPS2022] Hypertree proof search for neural theorem proving , 2022.05
Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, Xavier Martinet, Amaury Hayat, Gabriel Ebner, Aurélien Rodriguez, Timothée Lacroix
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[ICLR2022] Proof artifact co-training for theorem proving with language models , 2021.02
Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu
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[AITP2021] LISA: Language models of ISAbelle proofs link, 2021
Albert Qiaochu Jiang, Wenda Li, Jesse Michael Han, Yuhuai Wu
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[Preprint] Generative language modeling for automated theorem proving , 2020.09
Stanislas Polu, Ilya Sutskever
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[CICM2018]First Experiments with Neural Translation of Informal to Formal Mathematics , 2018.05
Qingxiang Wang, Cezary Kaliszyk, Josef Urban
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[Nature Synthesis] Universal chemical programming language for robotic synthesis repeatability link, 2024.01
Robert Rauschen, Mason Guy, Jason E. Hein, Leroy Cronin
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[Preprint] DrugAssist: A Large Language Model for Molecule Optimization , 2024.01
Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, Xiangxiang Zeng
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[Nature News&Views] Large language models direct automated chemistry laboratory link, 2023,12
Ana Laura Dias, Tiago Rodrigues
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[ACS] Chatgpt research group for optimizing the crystallinity of mofs and cofs link, 2023.09
Zhiling Zheng, Oufan Zhang, Ha L. Nguyen, Nakul Rampal, Ali H. Alawadhi, Zichao Rong, Teresa Head-Gordon, Christian Borgs, Jennifer T. Chayes, and Omar M. Yaghi
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[ICLR2024] BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge. , 2023.08
Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein
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[ICLR2024] ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback , 2023.05
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
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[Preprint] ChemCrow: Augmenting large-language models with chemistry tools , 2023.04
Andres M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, Philippe Schwaller
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[Preprint] Retrieved Sequence Augmentation for Protein Representation Learning link, 2023.02
Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong
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[Preprint] Natural language processing models that automate programming will transform chemistry research and teaching. , 2021.08
Glen M. Hocky, Andrew D. White
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[Science] Organic synthesis in a modular robotic system driven by a chemical programming language link, 2018.11
S. Steiner, Jakob B Wolf, S. Glatzel, Anna Andreou, J. Granda, Graham Keenan, T. Hinkley, G. Aragon-Camarasa, Philip J. Kitson, D. Angelone, L. Cronin