Measuring Mathematical Problem Solving With the MATH Dataset

5 March 2021

Papers citing "Measuring Mathematical Problem Solving With the MATH Dataset"

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Title
Representing Numbers in NLP: a Survey and a Vision Avijit Thawani Jay Pujara Pedro A. Szekely Filip Ilievski 24 114 0 24 Mar 2021
NaturalProofs: Mathematical Theorem Proving in Natural Language Sean Welleck Jiacheng Liu Ronan Le Bras Hannaneh Hajishirzi Yejin Choi Kyunghyun Cho AIMat 24 62 0 24 Mar 2021
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review Dan Hendrycks Collin Burns Anya Chen Spencer Ball ELM AILaw 18 179 0 10 Mar 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning Yuhuai Wu M. Rabe Wenda Li Jimmy Ba Roger C. Grosse Christian Szegedy AIMat LRM 69 51 0 15 Jan 2021
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 40 43 0 05 May 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,460 0 23 Jan 2020
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling M. Crouse Ibrahim Abdelaziz Cristina Cornelio Veronika Thost Lingfei Wu Kenneth D. Forbus Achille Fokoue NAI AI4CE GNN 98 36 0 15 Nov 2019