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Faithful Reasoning Using Large Language Models

Faithful Reasoning Using Large Language Models

30 August 2022
Antonia Creswell
Murray Shanahan
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Faithful Reasoning Using Large Language Models"

44 / 94 papers shown
Title
Deductive Verification of Chain-of-Thought Reasoning
Deductive Verification of Chain-of-Thought Reasoning
Z. Ling
Yunhao Fang
Xuanlin Li
Zhiao Huang
Mingu Lee
Roland Memisevic
Hao Su
ReLM
LRM
32
125
0
06 Jun 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
30
329
0
29 May 2023
Language Models with Rationality
Language Models with Rationality
Nora Kassner
Oyvind Tafjord
Ashish Sabharwal
Kyle Richardson
Hinrich Schütze
Peter Clark
ReLM
KELM
LRM
14
15
0
23 May 2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao
Dian Yu
Jeffrey Zhao
Izhak Shafran
Thomas L. Griffiths
Yuan Cao
Karthik Narasimhan
LM&Ro
LRM
AI4CE
34
1,751
0
17 May 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
36
14
0
09 May 2023
Language Models Don't Always Say What They Think: Unfaithful
  Explanations in Chain-of-Thought Prompting
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Miles Turpin
Julian Michael
Ethan Perez
Sam Bowman
ReLM
LRM
27
383
0
07 May 2023
Faithful Question Answering with Monte-Carlo Planning
Faithful Question Answering with Monte-Carlo Planning
Ruixin Hong
Hongming Zhang
Honghui Zhao
Dong Yu
Changshui Zhang
ReLM
LRM
58
19
0
04 May 2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment
  of Performance, Explainability, Calibration, and Faithfulness
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Bo Li
Gexiang Fang
Yang Yang
Quansen Wang
Wei Ye
Wen Zhao
Shikun Zhang
ELM
AI4MH
27
157
0
23 Apr 2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
Archiki Prasad
Swarnadeep Saha
Xiang Zhou
Joey Tianyi Zhou
LRM
32
45
0
21 Apr 2023
Interpretable Unified Language Checking
Interpretable Unified Language Checking
Tianhua Zhang
Hongyin Luo
Yung-Sung Chuang
Wei Fang
Luc Gaitskell
Thomas Hartvigsen
Xixin Wu
D. Fox
Helen M. Meng
James R. Glass
27
22
0
07 Apr 2023
Using Language Models For Knowledge Acquisition in Natural Language
  Reasoning Problems
Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems
Fangzhen Lin
Ziyi Shou
Chengcai Chen
LRM
ReLM
14
3
0
04 Apr 2023
Language Models can Solve Computer Tasks
Language Models can Solve Computer Tasks
Geunwoo Kim
Pierre Baldi
Stephen Marcus McAleer
LLMAG
LM&Ro
43
342
0
30 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
51
0
26 Mar 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
28
15
0
17 Feb 2023
Augmented Language Models: a Survey
Augmented Language Models: a Survey
Grégoire Mialon
Roberto Dessì
Maria Lomeli
Christoforos Nalmpantis
Ramakanth Pasunuru
...
Jane Dwivedi-Yu
Asli Celikyilmaz
Edouard Grave
Yann LeCun
Thomas Scialom
LRM
KELM
47
367
0
15 Feb 2023
Affective Faces for Goal-Driven Dyadic Communication
Affective Faces for Goal-Driven Dyadic Communication
Scott Geng
Revant Teotia
Purva Tendulkar
Sachit Menon
Carl Vondrick
VGen
26
18
0
26 Jan 2023
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning
  Processes
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes
Justin Reppert
Ben Rachbach
Charlie George
Luke Stebbing
Ju-Seung Byun
Maggie Appleton
Andreas Stuhlmuller
ReLM
LRM
38
17
0
04 Jan 2023
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss
  Policy for Transfer Learning
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Christopher T. Lengerich
Gabriel Synnaeve
Amy Zhang
Hugh Leather
Kurt Shuster
Franccois Charton
Charysse Redwood
SSL
OffRL
27
1
0
21 Dec 2022
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Seyed Mehran Kazemi
Najoung Kim
Deepti Bhatia
Xinyuan Xu
Deepak Ramachandran
LRM
24
76
0
20 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
29
583
0
20 Dec 2022
Visconde: Multi-document QA with GPT-3 and Neural Reranking
Visconde: Multi-document QA with GPT-3 and Neural Reranking
Jayr Alencar Pereira
R. Fidalgo
R. Lotufo
Rodrigo Nogueira
BDL
RALM
23
31
0
19 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
71
311
0
19 Dec 2022
Can Retriever-Augmented Language Models Reason? The Blame Game Between
  the Retriever and the Language Model
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Parishad BehnamGhader
Santiago Miret
Siva Reddy
ReLM
LRM
19
36
0
18 Dec 2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text
  Generation
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Swarnadeep Saha
Xinyan Velocity Yu
Joey Tianyi Zhou
Ramakanth Pasunuru
Asli Celikyilmaz
ReLM
LRM
25
10
0
16 Dec 2022
Despite "super-human" performance, current LLMs are unsuited for
  decisions about ethics and safety
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety
Joshua Albrecht
Ellie Kitanidis
Abraham J. Fetterman
ELM
ReLM
ALM
LRM
27
17
0
13 Dec 2022
Talking About Large Language Models
Talking About Large Language Models
Murray Shanahan
AI4CE
23
243
0
07 Dec 2022
Teaching Algorithmic Reasoning via In-context Learning
Teaching Algorithmic Reasoning via In-context Learning
Hattie Zhou
Azade Nova
Hugo Larochelle
Aaron C. Courville
Behnam Neyshabur
Hanie Sedghi
LRM
ReLM
32
108
0
15 Nov 2022
World Knowledge in Multiple Choice Reading Comprehension
World Knowledge in Multiple Choice Reading Comprehension
Adian Liusie
Vatsal Raina
Mark J. F. Gales
24
7
0
13 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MA
VLM
28
29
0
06 Nov 2022
Two-stage LLM Fine-tuning with Less Specialization and More
  Generalization
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang
Si Si
Daliang Li
Michal Lukasik
Felix X. Yu
Cho-Jui Hsieh
Inderjit S Dhillon
Sanjiv Kumar
43
29
0
01 Nov 2022
Disentangling Reasoning Capabilities from Language Models with
  Compositional Reasoning Transformers
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
Wanjun Zhong
Tingting Ma
Jiahai Wang
Jian Yin
T. Zhao
Chin-Yew Lin
Nan Duan
LRM
CoGe
33
2
0
20 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
252
2,494
0
06 Oct 2022
Honest Students from Untrusted Teachers: Learning an Interpretable
  Question-Answering Pipeline from a Pretrained Language Model
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Jacob Eisenstein
D. Andor
Bernd Bohnet
Michael Collins
David M. Mimno
LRM
191
24
0
05 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
121
275
0
03 Oct 2022
Co-Writing Screenplays and Theatre Scripts with Language Models: An
  Evaluation by Industry Professionals
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals
Piotr Wojciech Mirowski
Kory W. Mathewson
Jaylen Pittman
Richard Evans
HAI
64
250
0
29 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
109
107
0
22 Sep 2022
Summarization Programs: Interpretable Abstractive Summarization with
  Neural Modular Trees
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Swarnadeep Saha
Shiyue Zhang
Peter Hase
Joey Tianyi Zhou
26
19
0
21 Sep 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng Jiang
RALM
AIMat
229
321
0
21 Sep 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
50
12
0
16 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
328
4,077
0
24 May 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
137
103
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
386
8,495
0
28 Jan 2022
PonderNet: Learning to Ponder
PonderNet: Learning to Ponder
Andrea Banino
Jan Balaguer
Charles Blundell
PINN
AIMat
99
80
0
12 Jul 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
239
184
0
17 Apr 2021
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