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LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

20 December 2022
Seyed Mehran Kazemi
Najoung Kim
Deepti Bhatia
Xinyuan Xu
Deepak Ramachandran
    LRM
ArXivPDFHTML

Papers citing "LAMBADA: Backward Chaining for Automated Reasoning in Natural Language"

15 / 15 papers shown
Title
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
40
0
0
28 Mar 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Yanfang Zhang
Yiliu Sun
Yibing Zhan
Dapeng Tao
Dacheng Tao
Chen Gong
LRM
AI4CE
LLMAG
82
2
0
28 Jan 2025
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu
Wenjiang Xu
Weizhe Huang
Yuting Zeng
Jiaxing Wang
Hailong Yang
Hailong Yang
Jing Li
LRM
ReLM
39
5
0
26 Sep 2024
Hypothesis Testing Prompting Improves Deductive Reasoning in Large
  Language Models
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
Yitian Li
Jidong Tian
Hao He
Yaohui Jin
LRM
ReLM
27
0
0
09 May 2024
Learning from Students: Applying t-Distributions to Explore Accurate and
  Efficient Formats for LLMs
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel
Yuzong Chen
Bahaa Kotb
Sushma Prasad
Gang Wu
Sheng R. Li
Mohamed S. Abdelfattah
Zhiru Zhang
19
7
0
06 May 2024
Explainable Claim Verification via Knowledge-Grounded Reasoning with
  Large Language Models
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Haoran Wang
Kai Shu
LRM
30
22
0
08 Oct 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
48
14
0
23 Aug 2023
Large Language Model Programs
Large Language Model Programs
Imanol Schlag
Sainbayar Sukhbaatar
Asli Celikyilmaz
Wen-tau Yih
Jason Weston
Jürgen Schmidhuber
Xian Li
LRM
29
14
0
09 May 2023
Natural Language Deduction with Incomplete Information
Natural Language Deduction with Incomplete Information
Zayne Sprague
Kaj Bostrom
Swarat Chaudhuri
Greg Durrett
LRM
41
17
0
01 Nov 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
On the Paradox of Learning to Reason from Data
On the Paradox of Learning to Reason from Data
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Guy Van den Broeck
NAI
ReLM
OOD
LRM
132
102
0
23 May 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
RuleBert: Teaching Soft Rules to Pre-trained Language Models
RuleBert: Teaching Soft Rules to Pre-trained Language Models
Mohammed Saeed
N. Ahmadi
Preslav Nakov
Paolo Papotti
LRM
238
31
0
24 Sep 2021
Explaining Answers with Entailment Trees
Explaining Answers with Entailment Trees
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Zhengnan Xie
Hannah Smith
Leighanna Pipatanangkura
Peter Clark
ReLM
FAtt
LRM
237
184
0
17 Apr 2021
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
57
287
0
10 Dec 2020
1