ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.09381
  4. Cited By
Learning to Prove Theorems via Interacting with Proof Assistants

Learning to Prove Theorems via Interacting with Proof Assistants

21 May 2019
Kaiyu Yang
Jia Deng
    AIMat
    LRM
ArXivPDFHTML

Papers citing "Learning to Prove Theorems via Interacting with Proof Assistants"

26 / 26 papers shown
Title
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
441
0
0
21 Feb 2025
Simplifying Formal Proof-Generating Models with ChatGPT and Basic Searching Techniques
Simplifying Formal Proof-Generating Models with ChatGPT and Basic Searching Techniques
Sangjun Han
Taeil Hur
Youngmi Hur
Kathy Sangkyung Lee
Myungyoon Lee
Hyojae Lim
411
0
0
20 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
108
2
0
12 Feb 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
168
14
0
03 Jan 2025
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Kyle Thompson
Nuno Saavedra
Pedro Carrott
Kevin Fisher
Alex Sanchez-Stern
Yuriy Brun
J. Ferreira
Sorin Lerner
E. First
LRM
164
4
0
18 Dec 2024
Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4
Leni Aniva
Chuyue Sun
Brando Miranda
Clark W. Barrett
Sanmi Koyejo
74
4
0
21 Oct 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
70
11
0
19 Sep 2024
miniCTX: Neural Theorem Proving with (Long-)Contexts
miniCTX: Neural Theorem Proving with (Long-)Contexts
Jiewen Hu
Thomas Zhu
Sean Welleck
AIMat
124
10
0
05 Aug 2024
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
61
51
0
05 Apr 2019
GamePad: A Learning Environment for Theorem Proving
GamePad: A Learning Environment for Theorem Proving
Daniel Huang
Prafulla Dhariwal
D. Song
Ilya Sutskever
88
110
0
02 Jun 2018
Generative Code Modeling with Graphs
Generative Code Modeling with Graphs
Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
76
178
0
22 May 2018
Reinforcement Learning of Theorem Proving
Reinforcement Learning of Theorem Proving
C. Kaliszyk
Josef Urban
Henryk Michalewski
Miroslav Olsák
39
148
0
19 May 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
53
1,174
0
26 Mar 2018
End-to-End Optimization of Task-Oriented Dialogue Model with Deep
  Reinforcement Learning
End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning
Bing-Quan Liu
Gokhan Tur
Dilek Z. Hakkani-Tür
Pararth Shah
Larry Heck
OffRL
50
58
0
29 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNN
NAI
123
802
0
01 Nov 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
61
133
0
28 Sep 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
99
381
0
31 May 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
74
159
0
24 Jan 2017
Neuro-Symbolic Program Synthesis
Neuro-Symbolic Program Synthesis
Emilio Parisotto
Abdel-rahman Mohamed
Rishabh Singh
Lihong Li
Dengyong Zhou
Pushmeet Kohli
NAI
108
322
0
06 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
90
99
0
04 Nov 2016
DeepMath - Deep Sequence Models for Premise Selection
DeepMath - Deep Sequence Models for Premise Selection
Alexander A. Alemi
François Chollet
N. Eén
G. Irving
Christian Szegedy
Josef Urban
LRM
AIMat
57
229
0
14 Jun 2016
Learning End-to-End Goal-Oriented Dialog
Learning End-to-End Goal-Oriented Dialog
Antoine Bordes
Y-Lan Boureau
Jason Weston
78
782
0
24 May 2016
A Convolutional Attention Network for Extreme Summarization of Source
  Code
A Convolutional Attention Network for Extreme Summarization of Source Code
Miltiadis Allamanis
Hao Peng
Charles Sutton
AI4TS
86
583
0
09 Feb 2016
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
135
3,119
0
28 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
Learning-Assisted Automated Reasoning with Flyspeck
Learning-Assisted Automated Reasoning with Flyspeck
C. Kaliszyk
Josef Urban
LRM
83
162
0
29 Nov 2012
1