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Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with
  Autoformalization

Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization

26 March 2024
Jin Peng Zhou
Charles Staats
Wenda Li
Christian Szegedy
Kilian Q. Weinberger
Yuhuai Wu
    LRM
ArXivPDFHTML

Papers citing "Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization"

14 / 14 papers shown
Title
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
50
0
0
07 May 2025
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
Suozhi Huang
Peiyang Song
Robert Joseph George
Anima Anandkumar
AI4TS
LRM
44
2
0
25 Feb 2025
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
Ting-Ruen Wei
Haowei Liu
Xuyang Wu
Yi Fang
LRM
AI4CE
ReLM
KELM
202
1
0
21 Feb 2025
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
30
0
0
11 Oct 2024
Herald: A Natural Language Annotated Lean 4 Dataset
Herald: A Natural Language Annotated Lean 4 Dataset
Guoxiong Gao
Yutong Wang
Jiedong Jiang
Qi Gao
Zihan Qin
Tianyi Xu
Bin Dong
83
3
0
09 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
72
8
0
08 Oct 2024
Improving LLM Reasoning through Scaling Inference Computation with
  Collaborative Verification
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
Zhenwen Liang
Ye Liu
Tong Niu
Xiangliang Zhang
Yingbo Zhou
Semih Yavuz
LRM
32
17
0
05 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
72
23
0
14 Jul 2024
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
70
158
0
21 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
110
156
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
325
4,077
0
24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
223
190
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
314
3,248
0
21 Mar 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
367
8,495
0
28 Jan 2022
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