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Natural language is expected to be a key medium for various human-machine interactions in the era of large language models.
Elementary mathematical theory of classification and prediction
Taffee T Tanimoto. 1958 · 1958
Earlier work this paper cites.
Density functional theory
Robert G Parr. 1983 · 1983
Earlier work this paper cites.
Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules
David Weininger. 1988 · 1988
Earlier work this paper cites.
Merck molecular force field. i. basis, form, scope, parameterization, and performance of mmff94
Thomas A Halgren. 1996 · 1996
Earlier work this paper cites.
Reoptimization of mdl keys for use in drug discovery
Joseph L Durant, Burton A Leland, Douglas R Henry, and James G Nourse. 2002 · 2002
Earlier work this paper cites.
Nltk: The natural language toolkit
Edward Loper and Steven Bird. 2002 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling
Greg Landrum et al. 2013 · 2013
Earlier work this paper cites.
Get your atoms in order: An open-source implementation of a novel and robust molecular canonicalization algorithm
Nadine Schneider, Roger A Sayle, and Gregory A Landrum. 2015 · 2015
Earlier work this paper cites.
Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma. 2016 · 2016
Earlier work this paper cites.
Pubchem substance and compound databases
Sunghwan Kim, Paul A Thiessen, Evan E Bolton, Jie Chen, Gang Fu, Asta Gindulyte, Lianyi Han, Jane He, Siqian He, Benjamin A Shoemaker, et al. 2016 · 2016
Earlier work this paper cites.
Graph neural networks and their current applications in bioinformatics
Xiao-Meng Zhang, Li Liang, Lin Liu, and Ming-Jing Tang. 2021 · 2016
Earlier work this paper cites.
Dual supervised learning
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, and Tie-Yan Liu. 2017 · 2017
Earlier work this paper cites.
Using rule-based labels for weak supervised learning: a chemnet for transferable chemical property prediction
Garrett B Goh, Charles Siegel, Abhinav Vishnu, and Nathan Hodas. 2018 · 2018
Cited alongside, same era.
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Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Cited alongside, same era.
Deep learning for molecular design—a review of the state of the art
Daniel C Elton, Zois Boukouvalas, Mark D Fuge, and Peter W Chung. 2019 · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
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Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
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Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, and Jian Wang. 2020 · 2020
Later among the works it cites.
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Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, et al. 2021 · 2021
Later among the works it cites.
Joint biomedical entity and relation extraction with knowledge-enhanced collective inference
Tuan Lai, Heng Ji, ChengXiang Zhai, and Quan Hung Tran. 2021 · 2021
Later among the works it cites.
Unimo: Towards unified-modal understanding and generation via cross-modal contrastive learning
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, and Haifeng Wang. 2021 · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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