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MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

14 February 2024
Yinya Huang
Xiaohan Lin
Zhengying Liu
Qingxing Cao
Huajian Xin
Haiming Wang
Zhenguo Li
Linqi Song
Xiaodan Liang
    ALM
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Papers citing "MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data"

13 / 13 papers shown
Title
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal
Haruki Shirakami
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
54
1
0
17 Feb 2025
Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation
Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation
Shaonan Wu
Shuai Lu
Y. Gong
Nan Duan
Ping Wei
AIMat
33
0
0
21 Oct 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
63
22
0
14 Jul 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large
  Language Models
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models
Yiyuan Li
Shichao Sun
Pengfei Liu
LRM
49
0
0
01 Jul 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
18
10
0
23 May 2024
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
61
0
01 Oct 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
58
154
0
21 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
116
270
0
03 Oct 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
108
107
0
25 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 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
64
115
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
315
8,261
0
28 Jan 2022
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