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LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

27 June 2023
Kaiyu Yang
Aidan M. Swope
Alex Gu
Rahul Chalamala
Peiyang Song
Shixing Yu
Saad Godil
R. Prenger
Anima Anandkumar
    RALM
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Papers citing "LeanDojo: Theorem Proving with Retrieval-Augmented Language Models"

50 / 150 papers shown
Title
Reliable, Adaptable, and Attributable Language Models with Retrieval
Reliable, Adaptable, and Attributable Language Models with Retrieval
Akari Asai
Zexuan Zhong
Danqi Chen
Pang Wei Koh
Luke Zettlemoyer
Hanna Hajishirzi
Wen-tau Yih
KELM
RALM
49
55
0
05 Mar 2024
SynCode: LLM Generation with Grammar Augmentation
SynCode: LLM Generation with Grammar Augmentation
Shubham Ugare
Tarun Suresh
Hangoo Kang
Sasa Misailovic
Gagandeep Singh
40
12
0
03 Mar 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Bin Cui
3DV
132
235
0
29 Feb 2024
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Yifei Zhou
Andrea Zanette
Jiayi Pan
Sergey Levine
Aviral Kumar
65
51
0
29 Feb 2024
Securing Reliability: A Brief Overview on Enhancing In-Context Learning
  for Foundation Models
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models
Yunpeng Huang
Yaonan Gu
Jingwei Xu
Zhihong Zhu
Zhaorun Chen
Xiaoxing Ma
43
3
0
27 Feb 2024
REFACTOR: Learning to Extract Theorems from Proofs
REFACTOR: Learning to Extract Theorems from Proofs
Jin Peng Zhou
Yuhuai Wu
Qiyang Li
Roger C. Grosse
AIMat
45
7
0
26 Feb 2024
How Can LLM Guide RL? A Value-Based Approach
How Can LLM Guide RL? A Value-Based Approach
Shenao Zhang
Sirui Zheng
Shuqi Ke
Zhihan Liu
Wanxin Jin
Jianbo Yuan
Yingxiang Yang
Hongxia Yang
Zhaoran Wang
35
8
0
25 Feb 2024
Stepwise Self-Consistent Mathematical Reasoning with Large Language
  Models
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
Zilong Zhao
Yao Rong
Dongyang Guo
Emek Gözlüklü
Emir Gülboy
Enkelejda Kasneci
LRM
44
3
0
24 Feb 2024
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A
  Vision Paper
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper
Daoyuan Wu
Shuaibao Wang
Yang Liu
Ning Liu
AAML
39
7
0
24 Feb 2024
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize
  Encoded Knowledge
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Jinlan Fu
Shenzhen Huangfu
Hang Yan
See-Kiong Ng
Xipeng Qiu
LRM
50
7
0
22 Feb 2024
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
Renqiu Xia
Bo-Wen Zhang
Hancheng Ye
Xiangchao Yan
Qi Liu
...
Min Dou
Botian Shi
Junchi Yan
Junchi Yan
Yu Qiao
LRM
63
56
0
19 Feb 2024
FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems
FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems
Yiming He
Jia Zou
Xiaokai Zhang
Na Zhu
Tuo Leng
LRM
37
1
0
14 Feb 2024
VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large
  Language Model, and Tree Search
VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search
David Brandfonbrener
Simon Henniger
Sibi Raja
Tarun Prasad
Chloe Loughridge
...
Sabrina Ruixin Hu
Jianang Yang
William E. Byrd
Robert Zinkov
Nada Amin
LRM
59
6
0
13 Feb 2024
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math
  Languages
EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
Johnathan Mercer
41
0
0
12 Feb 2024
InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Huaiyuan Ying
Shuo Zhang
Linyang Li
Zhejian Zhou
Yunfan Shao
...
Hang Yan
Xipeng Qiu
Jiayu Wang
Kai-xiang Chen
Dahua Lin
ReLM
LRM
34
71
0
09 Feb 2024
Understanding Reasoning Ability of Language Models From the Perspective
  of Reasoning Paths Aggregation
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
Xinyi Wang
Alfonso Amayuelas
Kexun Zhang
Liangming Pan
Wenhu Chen
Wei Wang
LRM
40
12
0
05 Feb 2024
Learning Structure-Aware Representations of Dependent Types
Learning Structure-Aware Representations of Dependent Types
Konstantinos Kogkalidis
Orestis Melkonian
Jean-Philippe Bernardy
NAI
34
1
0
03 Feb 2024
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical
  Regulatory Compliance Process
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Jaewoong Kim
Moohong Min
49
0
0
26 Jan 2024
The Tactician's Web of Large-Scale Formal Knowledge
The Tactician's Web of Large-Scale Formal Knowledge
Lasse Blaauwbroek
16
4
0
05 Jan 2024
Graph2Tac: Online Representation Learning of Formal Math Concepts
Graph2Tac: Online Representation Learning of Formal Math Concepts
Lasse Blaauwbroek
Miroslav Olšák
Jason Rute
F. I. S. Massolo
Jelle Piepenbrock
Vasily Pestun
17
10
0
05 Jan 2024
Adapting Large Language Models for Education: Foundational Capabilities,
  Potentials, and Challenges
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li
Lingyue Fu
Weiming Zhang
Xianyu Chen
Jingwei Yu
Wei Xia
Weinan Zhang
Ruiming Tang
Yong Yu
AI4Ed
ELM
46
18
0
27 Dec 2023
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic
  Sampling Method
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method
Rahul Vishwakarma
Subhankar Mishra
AIMat
27
1
0
20 Dec 2023
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
E. Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLM
LRM
AI4CE
30
77
0
17 Dec 2023
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
Haoran Liao
Qinyi Du
Shaohua Hu
Hao He
Yanyan Xu
Jidong Tian
Yaohui Jin
LRM
AI4CE
40
1
0
14 Dec 2023
Large Language Models for Mathematicians
Large Language Models for Mathematicians
Simon Frieder
Julius Berner
P. Petersen
Thomas Lukasiewicz
13
4
0
07 Dec 2023
Inherent limitations of LLMs regarding spatial information
Inherent limitations of LLMs regarding spatial information
He Yan
Xinyao Hu
Xiangpeng Wan
Chengyu Huang
Kai Zou
Shiqi Xu
LRM
36
2
0
05 Dec 2023
Meta Prompting for AI Systems
Meta Prompting for AI Systems
Yifan Zhang
Yang Yuan
Andrew Chi-Chih Yao
LLMAG
LRM
29
5
0
20 Nov 2023
Multilingual Mathematical Autoformalization
Multilingual Mathematical Autoformalization
Albert Q. Jiang
Wenda Li
M. Jamnik
AI4CE
37
19
0
07 Nov 2023
LLMSTEP: LLM proofstep suggestions in Lean
LLMSTEP: LLM proofstep suggestions in Lean
Sean Welleck
Rahul Saha
14
24
0
27 Oct 2023
Llemma: An Open Language Model For Mathematics
Llemma: An Open Language Model For Mathematics
Zhangir Azerbayev
Hailey Schoelkopf
Keiran Paster
Marco Dos Santos
Stephen Marcus McAleer
Albert Q. Jiang
Jia Deng
Stella Biderman
Sean Welleck
CLL
40
275
0
16 Oct 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative
  Language Models
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
Jing Xiong
Jianhao Shen
Ye Yuan
Haiming Wang
Yichun Yin
...
Yinya Huang
Chuanyang Zheng
Xiaodan Liang
Ming Zhang
Qun Liu
AIMat
LRM
24
15
0
16 Oct 2023
Let's reward step by step: Step-Level reward model as the Navigators for
  Reasoning
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning
Qianli Ma
Haotian Zhou
Tingkai Liu
Jianbo Yuan
Pengfei Liu
Yang You
Hongxia Yang
LRM
35
43
0
16 Oct 2023
A New Approach Towards Autoformalization
A New Approach Towards Autoformalization
Nilay Patel
Rahul Saha
Jeffrey Flanigan
AI4CE
AIMat
26
3
0
12 Oct 2023
An In-Context Learning Agent for Formal Theorem-Proving
An In-Context Learning Agent for Formal Theorem-Proving
Amitayush Thakur
George Tsoukalas
Yeming Wen
Jimmy Xin
Swarat Chaudhuri
LLMAG
33
26
0
06 Oct 2023
Retrieval-augmented Generation to Improve Math Question-Answering:
  Trade-offs Between Groundedness and Human Preference
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Zachary Levonian
Chenglu Li
Wangda Zhu
Anoushka Gade
Owen Henkel
Millie-Ellen Postle
Wanli Xing
AI4Ed
RALM
23
32
0
04 Oct 2023
LEGO-Prover: Neural Theorem Proving with Growing Libraries
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang
Huajian Xin
Chuanyang Zheng
Lin Li
Zhengying Liu
...
Enze Xie
Jian Yin
Zhenguo Li
Heng Liao
Xiaodan Liang
LRM
41
65
0
01 Oct 2023
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language
  Feedback
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang
Zihan Wang
Jiateng Liu
Yangyi Chen
Lifan Yuan
Hao Peng
Heng Ji
LRM
133
142
0
19 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
64
44
0
18 Sep 2023
Large Language Models on Wikipedia-Style Survey Generation: an
  Evaluation in NLP Concepts
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Fan Gao
Hang Jiang
Rui Yang
Qingcheng Zeng
Jinghui Lu
Moritz Blum
Dairui Liu
Tianwei She
Yuang Jiang
Irene Z Li
ELM
ALM
LM&MA
35
8
0
21 Aug 2023
Cumulative Reasoning with Large Language Models
Cumulative Reasoning with Large Language Models
Yifan Zhang
Jingqin Yang
Yang Yuan
Andrew Chi-Chih Yao
ReLM
ELM
LRM
AI4CE
42
69
0
08 Aug 2023
A Comprehensive Overview of Large Language Models
A Comprehensive Overview of Large Language Models
Humza Naveed
Asad Ullah Khan
Shi Qiu
Muhammad Saqib
Saeed Anwar
Muhammad Usman
Naveed Akhtar
Nick Barnes
Ajmal Mian
OffRL
70
538
0
12 Jul 2023
Math Agents: Computational Infrastructure, Mathematical Embedding, and
  Genomics
Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics
M. Swan
Takashi Kido
Eric Roland
R. P. D. Santos
AI4CE
29
10
0
04 Jul 2023
Baldur: Whole-Proof Generation and Repair with Large Language Models
Baldur: Whole-Proof Generation and Repair with Large Language Models
E. First
M. Rabe
Talia Ringer
Yuriy Brun
67
95
0
08 Mar 2023
Magnushammer: A Transformer-Based Approach to Premise Selection
Magnushammer: A Transformer-Based Approach to Premise Selection
Maciej Mikuła
Szymon Tworkowski
Szymon Antoniak
Bartosz Piotrowski
Albert Qiaochu Jiang
Jinyi Zhou
Christian Szegedy
Lukasz Kuciñski
Piotr Milo's
Yuhuai Wu
52
44
0
08 Mar 2023
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal
  Proofs
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Albert Q. Jiang
Sean Welleck
Jin Peng Zhou
Wenda Li
Jiacheng Liu
M. Jamnik
Timothée Lacroix
Yuhuai Wu
Guillaume Lample
AIMat
75
159
0
21 Oct 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
249
128
0
25 May 2022
Autoformalization with Large Language Models
Autoformalization with Large Language Models
Yuhuai Wu
Albert Q. Jiang
Wenda Li
M. Rabe
Charles Staats
M. Jamnik
Christian Szegedy
AI4CE
112
158
0
25 May 2022
Formal Mathematics Statement Curriculum Learning
Formal Mathematics Statement Curriculum Learning
Stanislas Polu
Jesse Michael Han
Kunhao Zheng
Mantas Baksys
Igor Babuschkin
Ilya Sutskever
AIMat
91
118
0
03 Feb 2022
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
75
52
0
15 Jan 2021
Retrieval-Based Neural Code Generation
Retrieval-Based Neural Code Generation
Shirley Anugrah Hayati
R. Olivier
Pravalika Avvaru
Pengcheng Yin
A. Tomasic
Graham Neubig
134
110
0
29 Aug 2018
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