Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

11 February 2023

Qi Liu

Papers citing "Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning"

22 / 22 papers shown

Title
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz Anders Andreassen David Dohan Ethan Dyer Henryk Michalewski ... Theo Gutman-Solo Yuhuai Wu Behnam Neyshabur Guy Gur-Ari Vedant Misra ReLM ELM LRM 140 831 0 29 Jun 2022
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction Zhanming Jie Jierui Li Wei Lu ReLM AIMat 34 75 0 19 Mar 2022
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang J. Pei Liefeng Bo 175 198 0 08 Oct 2021
Generate & Rank: A Multi-task Framework for Math Word Problems Jianhao Shen Yichun Yin Lin Li Lifeng Shang Xin Jiang Ming Zhang Qun Liu AIMat 48 130 0 07 Sep 2021
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers Yihuai Lan Lei Wang Qiyuan Zhang Yunshi Lan B. Dai Yan Wang Dongxiang Zhang Ee-Peng Lim AIMat 58 72 0 02 Sep 2021
Are NLP Models really able to Solve Simple Math Word Problems? Arkil Patel S. Bhattamishra Navin Goyal ReLM LRM 78 829 0 12 Mar 2021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs Jiajun Chen Huarui He Feng Wu Jie Wang 45 131 0 05 Mar 2021
Curvature Regularization to Prevent Distortion in Graph Embedding Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Chunxu Zhang Bo Yang 22 13 0 28 Nov 2020
KLearn: Background Knowledge Inference from Summarization Data Maxime Peyrard Robert West 21 3 0 13 Oct 2020
Abductive Knowledge Induction From Raw Data Wang-Zhou Dai Stephen Muggleton 55 49 0 07 Oct 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 363 10,591 0 17 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 316 1,118 0 13 Feb 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 561 2,664 0 03 Sep 2019
Probabilistic Logic Neural Networks for Reasoning Meng Qu Jian Tang 63 163 0 20 Jun 2019
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction Qi Liu Zhenya Huang Yu Yin Enhong Chen Hui Xiong Yu Su Guoping Hu AI4Ed 102 391 0 07 Jun 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 53 638 0 29 Mar 2019
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers Dongxiang Zhang Lei Wang Nuo Xu B. Dai Heng Tao Shen ReLM AIMat 57 127 0 22 Aug 2018
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge R. Speer Joshua Chin Catherine Havasi 177 2,889 0 12 Dec 2016
Unit Dependency Graph and its Application to Arithmetic Word Problem Solving Subhro Roy Dan Roth AIMat 46 97 0 03 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 299 5,364 0 03 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 370 7,955 0 17 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014