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Mathematical language in scientific communications and educational scenarios is important yet relatively understudied compared to natural languages.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Matplotlib: A 2d graphics environment
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Visualizing data using t-sne
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CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
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Scikit-learn: Machine learning in Python
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Layout and semantics: Combining representations for mathematical formula search
Kenny Davila and Richard Zanibbi. 2017 · 2017
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Deep neural solver for math word problems
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Neural math word problem solver with reinforcement learning
Danqing Huang, Jing Liu, Chin-Yew Lin, and Jian Yin. 2018 · 2018
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Tangent-cft: An embedding model for mathematical formulas
Behrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu, C. Lee Giles, and Richard Zanibbi. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga and John Lafferty. 2019 · 2019
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Training verifiers to solve math word problems
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Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, and Huamin Qu. 2021 · 2021
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Mathbert: A pre-trained model for mathematical formula understanding
Shuai Peng, Ke Yuan, Liangcai Gao, and Zhi Tang. 2021 · 2021
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Mathbert: A pre-trained language model for general nlp tasks in mathematics education
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Structural similarity search for formulas using leaf-root paths in operator subtrees
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Text2Math: End-to-end parsing text into math expressions
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The automated grading of student open responses in mathematics
John A Erickson, Anthony F Botelho, Steven McAteer, Ashvini Varatharaj, and Neil T Heffernan. 2020 · 2020
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Deep learning for symbolic mathematics
Guillaume Lample and François Charton. 2020 · 2020
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Transformers: State-of-the-art natural language processing
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Automatic generation of headlines for online math questions
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Accelerating substructure similarity search for formula retrieval
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Scientific formula retrieval via tree embeddings
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Solving quantitative reasoning problems with language models
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MWP-BERT: Numeracy-augmented pre-training for math word problem solving
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Chain of thought prompting elicits reasoning in large language models
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Automatic short math answer grading via in-context meta-learning
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