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Chain-of-Thought Unfaithfulness as Disguised Accuracy

Chain-of-Thought Unfaithfulness as Disguised Accuracy

22 February 2024
Oliver Bentham
Nathan Stringham
Ana Marasović
    LRM
    HILM
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Papers citing "Chain-of-Thought Unfaithfulness as Disguised Accuracy"

12 / 12 papers shown
Title
Faithfulness Tests for Natural Language Explanations
Faithfulness Tests for Natural Language Explanations
Pepa Atanasova
Oana-Maria Camburu
Christina Lioma
Thomas Lukasiewicz
J. Simonsen
Isabelle Augenstein
FAtt
48
64
0
29 May 2023
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters
  for Implicature Resolution by LLMs
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Laura Ruis
Akbir Khan
Stella Biderman
Sara Hooker
Tim Rocktaschel
Edward Grefenstette
ReLM
21
38
0
26 Oct 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a Transformer
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELM
VLM
89
543
0
13 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
124
115
0
22 Sep 2022
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
116
1,894
0
29 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
567
9,009
0
28 Jan 2022
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
297
178
0
24 Oct 2020
Evaluating and Characterizing Human Rationales
Evaluating and Characterizing Human Rationales
Samuel Carton
Anirudh Rathore
Chenhao Tan
27
49
0
09 Oct 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
437
4,662
0
23 Jan 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
420
1,664
0
18 Sep 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
168
1,628
0
28 Dec 2018
Program Induction by Rationale Generation : Learning to Solve and
  Explain Algebraic Word Problems
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling
Dani Yogatama
Chris Dyer
Phil Blunsom
AIMat
49
701
0
11 May 2017
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