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Lean-STaR: Learning to Interleave Thinking and Proving

Lean-STaR: Learning to Interleave Thinking and Proving

14 July 2024
Haohan Lin
Zhiqing Sun
Yiming Yang
Sean Welleck
    ReLM
    LRM
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Papers citing "Lean-STaR: Learning to Interleave Thinking and Proving"

50 / 51 papers shown
Title
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
Woosung Koh
Wonbeen Oh
Jaein Jang
MinHyung Lee
Hyeongjin Kim
Ah Yeon Kim
Joonkee Kim
Junghyun Lee
Taehyeon Kim
Se-Young Yun
LRM
TTA
50
0
0
22 May 2025
Learning to Reason via Mixture-of-Thought for Logical Reasoning
Learning to Reason via Mixture-of-Thought for Logical Reasoning
Tong Zheng
Lichang Chen
Simeng Han
R. Thomas McCoy
Heng Huang
LRM
40
0
0
21 May 2025
LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation
LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation
Junyu Lai
Jiakun Zhang
Shuo Xu
Taolue Chen
Zihang Wang
Yao Yang
Jiarui Zhang
Chun Cao
Jingwei Xu
35
0
0
17 May 2025
Search-Based Correction of Reasoning Chains for Language Models
Search-Based Correction of Reasoning Chains for Language Models
Minsu Kim
Jean-Pierre Falet
Oliver E. Richardson
Xiaoyin Chen
Moksh Jain
Sungjin Ahn
Sungsoo Ahn
Yoshua Bengio
KELM
ReLM
LRM
52
0
0
17 May 2025
Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
Qi Liu
Xinhao Zheng
Renqiu Xia
Xingzhi Qi
Qinxiang Cao
Junchi Yan
AIMat
71
0
0
07 May 2025
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Zhouliang Yu
Ruotian Peng
Keyi Ding
Yiming Li
Zhongyuan Peng
...
Huajian Xin
Wenjie Huang
Yandong Wen
Ge Zhang
Weiyang Liu
LRM
274
1
0
05 May 2025
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
Haiming Wang
Mert Unsal
Xiaohan Lin
Mantas Baksys
Qingbin Liu
...
Zhouliang Yu
Ziyi Wang
Zhilin Yang
Zhengying Liu
Jia-Nan Li
AIMat
ReLM
AI4TS
LRM
74
11
0
15 Apr 2025
Leanabell-Prover: Posttraining Scaling in Formal Reasoning
Leanabell-Prover: Posttraining Scaling in Formal Reasoning
Jingyuan Zhang
Qi Wang
Xingguang Ji
Yang Liu
Yang Yue
Fuzheng Zhang
Di Zhang
Guorui Zhou
Kun Gai
LRM
48
4
0
08 Apr 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou
Xiaocheng Feng
L. Huang
Xiachong Feng
Ziyun Song
...
Baoxin Wang
Dayong Wu
Guoping Hu
Ting Liu
Bing Qin
AI4TS
95
1
0
03 Mar 2025
CuDIP: Enhancing Theorem Proving in LLMs via Curriculum Learning-based Direct Preference Optimization
CuDIP: Enhancing Theorem Proving in LLMs via Curriculum Learning-based Direct Preference Optimization
Shuming Shi
Ruobing Zuo
Gaolei He
Jianlin Wang
Chenyang Xu
Zhengfeng Yang
78
0
0
25 Feb 2025
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
372
0
0
21 Feb 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Hai-Tao Zheng
Jiayi Kuang
Haojing Huang
Zhikun Xu
Xinnian Liang
...
Jue Chen
Chao Qu
Ying Shen
Hai-Tao Zheng
Philip S. Yu
LRM
72
2
0
12 Feb 2025
Optimizing Temperature for Language Models with Multi-Sample Inference
Optimizing Temperature for Language Models with Multi-Sample Inference
Weihua Du
Yiming Yang
Sean Welleck
81
3
0
07 Feb 2025
Formal Mathematical Reasoning: A New Frontier in AI
Formal Mathematical Reasoning: A New Frontier in AI
Kaiyu Yang
Gabriel Poesia
Jingxuan He
Wenda Li
Kristin Lauter
Swarat Chaudhuri
Dawn Song
LRM
AI4CE
103
27
0
20 Dec 2024
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang
Yu-Ting Lee
Hui-Ying Shih
Pei-Yuan Wu
Pei-Yuan Wu
OffRL
LRM
363
0
0
31 Oct 2024
Proof Flow: Preliminary Study on Generative Flow Network Language Model
  Tuning for Formal Reasoning
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning
Matthew Ho
Vincent Zhu
Xiaoyin Chen
Moksh Jain
Nikolay Malkin
Edwin Zhang
LRM
49
5
0
17 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
85
8
0
08 Oct 2024
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
Xueliang Zhao
Lin Zheng
Haige Bo
Changran Hu
Urmish Thakker
Lingpeng Kong
LRM
59
4
0
20 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
Zhaochun Ren
Junxiao Song
Zhihong Shao
Wanjia Zhao
...
Dejian Yang
Zhibin Gou
Z. F. Wu
Fuli Luo
Chong Ruan
AIMat
LRM
61
59
0
15 Aug 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
70
24
0
15 Apr 2024
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with
  Autoformalization
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
Jin Peng Zhou
Charles Staats
Wenda Li
Christian Szegedy
Kilian Q. Weinberger
Yuhuai Wu
LRM
44
32
0
26 Mar 2024
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
Yinya Huang
Xiaohan Lin
Zhengying Liu
Qingxing Cao
Huajian Xin
Haiming Wang
Zhenguo Li
Linqi Song
Xiaodan Liang
ALM
63
36
0
14 Feb 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with
  Language Models
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh
John D. Co-Reyes
Rishabh Agarwal
Ankesh Anand
Piyush Patil
...
Yamini Bansal
Ethan Dyer
Behnam Neyshabur
Jascha Narain Sohl-Dickstein
Noah Fiedel
ALM
LRM
ReLM
SyDa
175
171
0
11 Dec 2023
LLMSTEP: LLM proofstep suggestions in Lean
LLMSTEP: LLM proofstep suggestions in Lean
Sean Welleck
Rahul Saha
16
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
53
282
0
16 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
35
27
0
06 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
53
66
0
01 Oct 2023
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang
Aidan M. Swope
Alex Gu
Rahul Chalamala
Peiyang Song
Shixing Yu
Saad Godil
R. Prenger
Anima Anandkumar
RALM
43
221
0
27 Jun 2023
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal
  Theorem Proving
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao
Wenda Li
Lingpeng Kong
49
28
0
25 May 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
476
13,788
0
15 Mar 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
90
98
0
08 Mar 2023
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level
  Mathematics
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Zhangir Azerbayev
Bartosz Piotrowski
Hailey Schoelkopf
Edward W. Ayers
Dragomir R. Radev
J. Avigad
AIMat
20
76
0
24 Feb 2023
Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
ReLM
ReCod
LRM
127
774
0
22 Nov 2022
Towards a Mathematics Formalisation Assistant using Large Language
  Models
Towards a Mathematics Formalisation Assistant using Large Language Models
Ayush Agrawal
Siddhartha Gadgil
Navin Goyal
Ashvni Narayanan
Anand Tadipatri
37
16
0
14 Nov 2022
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
89
164
0
21 Oct 2022
NaturalProver: Grounded Mathematical Proof Generation with Language
  Models
NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck
Jiacheng Liu
Ximing Lu
Hannaneh Hajishirzi
Yejin Choi
AIMat
LRM
54
69
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
178
167
0
25 May 2022
HyperTree Proof Search for Neural Theorem Proving
HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample
Marie-Anne Lachaux
Thibaut Lavril
Xavier Martinet
Amaury Hayat
Gabriel Ebner
Aurelien Rodriguez
Timothée Lacroix
AIMat
61
140
0
23 May 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLM
LRM
81
459
0
28 Mar 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
106
118
0
03 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
570
9,009
0
28 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
127
728
0
30 Nov 2021
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng
Jesse Michael Han
Stanislas Polu
AIMat
70
164
0
31 Aug 2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
NaturalProofs: Mathematical Theorem Proving in Natural Language
Sean Welleck
Jiacheng Liu
Ronan Le Bras
Hannaneh Hajishirzi
Yejin Choi
Kyunghyun Cho
AIMat
43
66
0
24 Mar 2021
Measuring Mathematical Problem Solving With the MATH Dataset
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks
Collin Burns
Saurav Kadavath
Akul Arora
Steven Basart
Eric Tang
D. Song
Jacob Steinhardt
ReLM
FaML
117
2,109
0
05 Mar 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
71
121
0
11 Feb 2021
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
91
55
0
15 Jan 2021
Document-Level Definition Detection in Scholarly Documents: Existing
  Models, Error Analyses, and Future Directions
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
Dongyeop Kang
Andrew Head
Risham Sidhu
Kyle Lo
Daniel S. Weld
Marti A. Hearst
31
25
0
11 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
467
41,106
0
28 May 2020
Exploration of Neural Machine Translation in Autoformalization of
  Mathematics in Mizar
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
Qingxiang Wang
C. Brown
C. Kaliszyk
Josef Urban
AIMat
AI4CE
47
51
0
05 Dec 2019
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