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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
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point
  Processes
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
Sean Lamont
Christian J. Walder
Amir Dezfouli
Paul Montague
Michael Norrish
31
0
0
14 Oct 2024
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
Heng Chang
Miao Zheng
Fan Yang
Guosheng Dong
Bin Cui
Xin Wu
Zenan Zhou
Wentao Zhang
ALM
51
6
0
12 Oct 2024
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia
Daniel Bramblett
D. Dobhal
Siddharth Srivastava
ELM
LRM
35
0
0
11 Oct 2024
LeanAgent: Lifelong Learning for Formal Theorem Proving
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan
Mo Tiwari
Peiyang Song
Robert Joseph George
Chaowei Xiao
Anima Anandkumar
CLL
LLMAG
LRM
74
8
0
08 Oct 2024
ImProver: Agent-Based Automated Proof Optimization
ImProver: Agent-Based Automated Proof Optimization
Riyaz Ahuja
Jeremy Avigad
Prasad Tetali
Sean Welleck
LLMAG
42
2
0
07 Oct 2024
Consistent Autoformalization for Constructing Mathematical Libraries
Consistent Autoformalization for Constructing Mathematical Libraries
Lan Zhang
Xin Quan
André Freitas
AI4CE
43
2
0
05 Oct 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM
  Performance and Generalization
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Mucong Ding
Chenghao Deng
Jocelyn Choo
Zichu Wu
Aakriti Agrawal
...
Dinesh Manocha
Tom Goldstein
John Langford
Anima Anandkumar
Furong Huang
64
5
0
27 Sep 2024
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors
  in Pretrained Language Models
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
Pengrui Han
Peiyang Song
Haofei Yu
Jiaxuan You
ReLM
LRM
36
1
0
23 Sep 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
46
36
0
23 Sep 2024
AutoVerus: Automated Proof Generation for Rust Code
AutoVerus: Automated Proof Generation for Rust Code
Chenyuan Yang
Xuheng Li
Md Rakib Hossain Misu
Jianan Yao
Weidong Cui
...
Jacob R. Lorch
Shuai Lu
Fan Yang
Ziqiao Zhou
Shan Lu
37
7
0
19 Sep 2024
Great Memory, Shallow Reasoning: Limits of $k$NN-LMs
Great Memory, Shallow Reasoning: Limits of kkkNN-LMs
Shangyi Geng
Wenting Zhao
Alexander M. Rush
RALM
ReLM
LRM
34
1
0
21 Aug 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
Ziming Liu
Pingchuan Ma
Yixuan Wang
Wojciech Matusik
Max Tegmark
48
62
0
19 Aug 2024
QEDCartographer: Automating Formal Verification Using Reward-Free
  Reinforcement Learning
QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning
Alex Sanchez-Stern
Abhishek Varghese
Zhanna Kaufman
Dylan Zhang
Talia Ringer
Yuriy Brun
26
2
0
17 Aug 2024
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for
  Reinforcement Learning and Monte-Carlo Tree Search
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin
Z. Z. Ren
Junxiao Song
Zhihong Shao
Wanjia Zhao
...
Dejian Yang
Zhibin Gou
Z. F. Wu
Fuli Luo
Chong Ruan
AIMat
LRM
50
55
0
15 Aug 2024
miniCTX: Neural Theorem Proving with (Long-)Contexts
miniCTX: Neural Theorem Proving with (Long-)Contexts
Jiewen Hu
Thomas Zhu
Sean Welleck
AIMat
73
8
0
05 Aug 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su
Mingyu Lee
SangKeun Lee
46
8
0
02 Aug 2024
LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN
  prover
LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover
Zijian Wu
Jiayu Wang
Dahua Lin
Kai-xiang Chen
32
13
0
24 Jul 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
58
7
0
17 Jul 2024
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam
  Mathematical Competition
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
George Tsoukalas
Jasper Lee
John Jennings
Jimmy Xin
Michelle Ding
Michael Jennings
Amitayush Thakur
Swarat Chaudhuri
LRM
AIMat
47
19
0
15 Jul 2024
Lean-STaR: Learning to Interleave Thinking and Proving
Lean-STaR: Learning to Interleave Thinking and Proving
Haohan Lin
Zhiqing Sun
Yiming Yang
Sean Welleck
ReLM
LRM
75
26
0
14 Jul 2024
Solving General Natural-Language-Description Optimization Problems with
  Large Language Models
Solving General Natural-Language-Description Optimization Problems with Large Language Models
Jihai Zhang
Wei Wang
Siyan Guo
Li Wang
Fangquan Lin
Cheng Yang
Wotao Yin
43
8
0
09 Jul 2024
Towards Automated Functional Equation Proving: A Benchmark Dataset and A
  Domain-Specific In-Context Agent
Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent
Mahdi Buali
Robert Hoehndorf
47
0
0
05 Jul 2024
Learning Formal Mathematics From Intrinsic Motivation
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia
David Broman
Nick Haber
Noah D. Goodman
LRM
43
11
0
30 Jun 2024
Towards Large Language Model Aided Program Refinement
Towards Large Language Model Aided Program Refinement
YuFan Cai
Zhe Hou
Xiaokun Luan
David Miguel Sanan Baena
Yun Lin
Jun Sun
Jin Song Dong
46
4
0
26 Jun 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
35
51
0
24 Jun 2024
Specify What? Enhancing Neural Specification Synthesis by Symbolic
  Methods
Specify What? Enhancing Neural Specification Synthesis by Symbolic Methods
George Granberry
Wolfgang Ahrendt
Moa Johansson
39
2
0
21 Jun 2024
FVEL: Interactive Formal Verification Environment with Large Language
  Models via Theorem Proving
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
Xiaohan Lin
Qingxing Cao
Yinya Huang
Haiming Wang
Jianqiao Lu
Zhengying Liu
Linqi Song
Xiaodan Liang
LRM
44
6
0
20 Jun 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations
Proving Olympiad Algebraic Inequalities without Human Demonstrations
Chenrui Wei
Mengzhou Sun
Wei Wang
LRM
50
8
0
20 Jun 2024
miniCodeProps: a Minimal Benchmark for Proving Code Properties
miniCodeProps: a Minimal Benchmark for Proving Code Properties
Evan Lohn
Sean Welleck
40
3
0
16 Jun 2024
Can I understand what I create? Self-Knowledge Evaluation of Large
  Language Models
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models
Zhiquan Tan
Lai Wei
Jindong Wang
Xing Xie
Weiran Huang
ELM
LRM
35
5
0
10 Jun 2024
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
Xunguang Wang
Daoyuan Wu
Zhenlan Ji
Zongjie Li
Pingchuan Ma
Shuai Wang
Yingjiu Li
Yang Liu
Ning Liu
Juergen Rahmel
AAML
79
8
0
08 Jun 2024
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang
Xiting Wang
Weijieying Ren
Lu Jiang
Dongjie Wang
Kunpeng Liu
LRM
36
9
0
04 Jun 2024
Process-Driven Autoformalization in Lean 4
Process-Driven Autoformalization in Lean 4
Jianqiao Lu
Zhengying Liu
Yingjia Wan
Yinya Huang
Haiming Wang
Zhicheng YANG
Jing Tang
Zhijiang Guo
AI4CE
45
16
0
04 Jun 2024
Autoformalizing Euclidean Geometry
Autoformalizing Euclidean Geometry
Logan Murphy
Kaiyu Yang
Jialiang Sun
Zhaoyu Li
A. Anandkumar
Xujie Si
44
4
0
27 May 2024
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer
  via Self-Learning
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
Xun Liang
Pengnian Qi
Zhiyu Li
Sensen Zhang
Shichao Song
Hanyu Wang
Jiawei Yang
Zhiyu Li
Simin Niu
Chenyang Xi
RALM
35
6
0
27 May 2024
Models That Prove Their Own Correctness
Models That Prove Their Own Correctness
Noga Amit
S. Goldwasser
Orr Paradise
G. Rothblum
LRM
44
2
0
24 May 2024
Proving Theorems Recursively
Proving Theorems Recursively
Haiming Wang
Huajian Xin
Zhengying Liu
Wenda Li
Yinya Huang
...
Zhicheng YANG
Jing Tang
Jian Yin
Zhenguo Li
Xiaodan Liang
LRM
43
12
0
23 May 2024
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale
  Synthetic Data
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Huajian Xin
Daya Guo
Zhihong Shao
Z. Z. Ren
Qihao Zhu
Bo Liu
Chong Ruan
Wenda Li
Xiaodan Liang
SyDa
45
64
0
23 May 2024
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology
  Datasets with Foundational Embedding Models
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Aakash Tripathi
Asim Waqas
Yasin Yilmaz
Ghulam Rasool
38
5
0
13 May 2024
ATG: Benchmarking Automated Theorem Generation for Generative Language
  Models
ATG: Benchmarking Automated Theorem Generation for Generative Language Models
Xiaohan Lin
Qingxing Cao
Yinya Huang
Zhicheng YANG
Zhengying Liu
Zhenguo Li
Xiaodan Liang
26
4
0
05 May 2024
Generating Probabilistic Scenario Programs from Natural Language
Generating Probabilistic Scenario Programs from Natural Language
Karim Elmaaroufi
Devan Shankar
Ana Cismaru
Marcell Vazquez-Chanlatte
Alberto L. Sangiovanni-Vincentelli
Matei A. Zaharia
S. Seshia
40
7
0
03 May 2024
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty
Gabriel Ebner
Siddharth Bhat
Sarah Fakhoury
Sakina Fatima
Shuvendu K. Lahiri
Nikhil Swamy
48
15
0
03 May 2024
Towards Green AI: Current status and future research
Towards Green AI: Current status and future research
Christian Clemm
Lutz Stobbe
Kishan Wimalawarne
Jan Druschke
51
2
0
01 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
47
15
0
29 Apr 2024
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
Peiyang Song
Kaiyu Yang
A. Anandkumar
42
25
0
18 Apr 2024
A Survey on Deep Learning for Theorem Proving
A Survey on Deep Learning for Theorem Proving
Zhaoyu Li
Jialiang Sun
Logan Murphy
Qidong Su
Zenan Li
Xian Zhang
Kaiyu Yang
Xujie Si
LRM
56
22
0
15 Apr 2024
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for
  Intuitionistic Propositional Logic Proving
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Chenyang An
Zhibo Chen
Qihao Ye
Emily First
Letian Peng
Jiayun Zhang
Zihan Wang
Sorin Lerner
Jingbo Shang
LRM
42
7
0
10 Apr 2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean
LeanReasoner: Boosting Complex Logical Reasoning with Lean
Dongwei Jiang
Marcio Fonseca
Shay B. Cohen
LRM
36
14
0
20 Mar 2024
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Yiran Wu
Tianwei Yue
Shaokun Zhang
Chi Wang
Qingyun Wu
48
21
0
17 Mar 2024
Learning Guided Automated Reasoning: A Brief Survey
Learning Guided Automated Reasoning: A Brief Survey
Lasse Blaauwbroek
David M. Cerna
Thibault Gauthier
Jan Jakubruv
C. Kaliszyk
Martin Suda
Josef Urban
LRM
40
4
0
06 Mar 2024
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