LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning

LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning

15 January 2021

Jimmy Ba

Roger C. Grosse

Christian Szegedy

Papers citing "LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning"

6 / 6 papers shown

Title
On the generalization of language models from in-context learning and finetuning: a controlled study Andrew Kyle Lampinen Arslan Chaudhry Stephanie Chan Cody Wild Diane Wan Alex Ku Jorg Bornschein Razvan Pascanu Murray Shanahan James L. McClelland 46 0 0 01 May 2025
Mathematical Language Models: A Survey W. Liu Hanglei Hu Jie Zhou Yuyang Ding Junsong Li ... Mengliang He Qin Chen Bo Jiang Aimin Zhou Liang He LRM 60 12 0 03 Jan 2025
Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin Zhiqing Sun Yiming Yang Sean Welleck ReLM LRM 53 22 0 14 Jul 2024
Thrust: Adaptively Propels Large Language Models with External Knowledge Xinran Zhao Hongming Zhang Xiaoman Pan Wenlin Yao Dong Yu Jianshu Chen KELM 33 4 0 19 Jul 2023
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 87 36 0 15 Nov 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 208 7,687 0 17 Aug 2015