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HyperTree Proof Search for Neural Theorem Proving

HyperTree Proof Search for Neural Theorem Proving

23 May 2022
Guillaume Lample
Marie-Anne Lachaux
Thibaut Lavril
Xavier Martinet
Amaury Hayat
Gabriel Ebner
Aurelien Rodriguez
Timothée Lacroix
    AIMat
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Papers citing "HyperTree Proof Search for Neural Theorem Proving"

47 / 97 papers shown
Title
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić
Federico Soldá
Aurelio Sulser
Davide Scaramuzza
LRM
BDL
52
5
0
26 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
41
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
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
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
Exploring the Limits of Fine-grained LLM-based Physics Inference via
  Premise Removal Interventions
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
Jordan Meadows
Tamsin James
André Freitas
ReLM
LRM
AI4CE
41
1
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
21
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
28
14
0
20 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
35
4
0
06 Mar 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
5
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
39
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
70
0
09 Feb 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
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
19
1
0
20 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
32
1
0
14 Dec 2023
Game Solving with Online Fine-Tuning
Game Solving with Online Fine-Tuning
Ti-Rong Wu
Hung Guei
Ting Han Wei
Chung-Chin Shih
Jui-Te Chin
I-Chen Wu
OnRL
19
1
0
13 Nov 2023
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu
  Search
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
Abbas Mehrabian
Ankit Anand
Hyunjik Kim
Nicolas Sonnerat
Matej Balog
...
Laurent Orseau
Joonkyung Lee
Anurag Murty Naredla
Doina Precup
Adam Zsolt Wagner
21
7
0
06 Nov 2023
FormalGeo: An Extensible Formalized Framework for Olympiad Geometric
  Problem Solving
FormalGeo: An Extensible Formalized Framework for Olympiad Geometric Problem Solving
Xiaokai Zhang
Na Zhu
Yiming He
Jia Zou
Qike Huang
...
Cheng Qin
Zhen Zeng
Shaorong Xie
Xiangfeng Luo
Tuo Leng
AIMat
AI4CE
27
4
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
34
273
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
The Search-and-Mix Paradigm in Approximate Nash Equilibrium Algorithms
The Search-and-Mix Paradigm in Approximate Nash Equilibrium Algorithms
Xiaotie Deng
Dongchen Li
Hanyu Li
11
0
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
25
24
0
06 Oct 2023
Notes on a Path to AI Assistance in Mathematical Reasoning
Notes on a Path to AI Assistance in Mathematical Reasoning
Alex Kontorovich
17
0
0
04 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
23
18
0
03 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
39
63
0
01 Oct 2023
The Mathematical Game
The Mathematical Game
Marc Pierre
Quentin Cohen-Solal
Tristan Cazenave
11
1
0
22 Sep 2023
Provably safe systems: the only path to controllable AGI
Provably safe systems: the only path to controllable AGI
Max Tegmark
Steve Omohundro
16
21
0
05 Sep 2023
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results
Yelisey Pitanov
Alexey Skrynnik
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
29
2
0
25 Jul 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
19
213
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
38
28
0
25 May 2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng
Zhengying Liu
Enze Xie
Zhenguo Li
Yu Li
LLMAG
ReLM
LRM
41
103
0
19 Apr 2023
Tool Learning with Foundation Models
Tool Learning with Foundation Models
Yujia Qin
Shengding Hu
Yankai Lin
Weize Chen
Ning Ding
...
Cheng Yang
Tongshuang Wu
Heng Ji
Zhiyuan Liu
Maosong Sun
42
200
0
17 Apr 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
94
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
47
42
0
08 Mar 2023
CoProver: A Recommender System for Proof Construction
CoProver: A Recommender System for Proof Construction
Eric Yeh
Briland Hitaj
S. Owre
Maena Quemener
N. Shankar
28
4
0
01 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
16
70
0
24 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny
Guillaume Lample
Sylvain Lamprier
M. Virgolin
34
25
0
22 Feb 2023
Augmented Language Models: a Survey
Augmented Language Models: a Survey
Grégoire Mialon
Roberto Dessì
Maria Lomeli
Christoforos Nalmpantis
Ramakanth Pasunuru
...
Jane Dwivedi-Yu
Asli Celikyilmaz
Edouard Grave
Yann LeCun
Thomas Scialom
LRM
KELM
47
368
0
15 Feb 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLM
LRM
46
139
0
20 Dec 2022
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned
  Symbolic Abstractions
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions
Zhening Li
Gabriel Poesia
Omar Costilla-Reyes
Noah D. Goodman
Armando Solar-Lezama
21
7
0
16 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
27
15
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
73
158
0
21 Oct 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
68
183
0
30 Aug 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
Self-Supervised Learning to Prove Equivalence Between Straight-Line
  Programs via Rewrite Rules
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
Steve Kommrusch
Monperrus Martin
L. Pouchet
19
9
0
22 Sep 2021
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