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Logic-LM: Empowering Large Language Models with Symbolic Solvers for
  Faithful Logical Reasoning

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

20 May 2023
Liangming Pan
Alon Albalak
Xinyi Wang
William Yang Wang
    ReLM
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning"

15 / 165 papers shown
Title
Are Large Language Models Really Good Logical Reasoners? A Comprehensive
  Evaluation and Beyond
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
Fangzhi Xu
Qika Lin
Jiawei Han
Tianzhe Zhao
Jun Liu
Erik Cambria
ELM
LRM
31
31
0
16 Jun 2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory
  Information
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Mehran Kazemi
Quan Yuan
Deepti Bhatia
Najoung Kim
Xin Xu
Vaiva Imbrasaite
Deepak Ramachandran
LRM
11
38
0
13 Jun 2023
Grammar Prompting for Domain-Specific Language Generation with Large
  Language Models
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Bailin Wang
Zi Wang
Xuezhi Wang
Yuan Cao
Rif A. Saurous
Yoon Kim
ReLM
LRM
25
52
0
30 May 2023
Harnessing the Power of Large Language Models for Natural Language to
  First-Order Logic Translation
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
Yuan Yang
Siheng Xiong
Ali Payani
Ehsan Shareghi
Faramarz Fekri
LRM
22
33
0
24 May 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize
  World Models for Model-based Task Planning
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
L. Guan
Karthik Valmeekam
S. Sreedharan
Subbarao Kambhampati
LLMAG
19
157
0
24 May 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a
  Good Reranker for Hard Samples!
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma
Yixin Cao
YongChing Hong
Aixin Sun
RALM
80
85
0
15 Mar 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
157
0
21 Oct 2022
Entailer: Answering Questions with Faithful and Truthful Chains of
  Reasoning
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
ReLM
KELM
LRM
60
52
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
274
0
03 Oct 2022
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional,
  and Explainable Reasoning
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
Nathaniel Weir
Peter Clark
Benjamin Van Durme
ReLM
NAI
LRM
48
12
0
16 Sep 2022
FOLIO: Natural Language Reasoning with First-Order Logic
FOLIO: Natural Language Reasoning with First-Order Logic
Simeng Han
Hailey Schoelkopf
Yilun Zhao
Zhenting Qi
Martin Riddell
...
Yingbo Zhou
Caiming Xiong
Rex Ying
Arman Cohan
Dragomir R. Radev
ReLM
LRM
26
91
0
02 Sep 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
4,048
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
3,217
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 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
315
8,402
0
28 Jan 2022
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