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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

7 May 2023
Miles Turpin
Julian Michael
Ethan Perez
Sam Bowman
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting"

11 / 61 papers shown
Title
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
181
24
0
05 Oct 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
104
105
0
22 Sep 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
141
115
0
16 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
29
180
0
30 Aug 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
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
212
189
0
24 May 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
11,730
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
8,261
0
28 Jan 2022
BBQ: A Hand-Built Bias Benchmark for Question Answering
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
212
364
0
15 Oct 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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