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A Hypothesis-Driven Framework for the Analysis of Self-Rationalising
  Models

A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models

7 February 2024
Marc Braun
Jenny Kunz
ArXivPDFHTML

Papers citing "A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models"

4 / 4 papers shown
Title
On Measuring Faithfulness or Self-consistency of Natural Language
  Explanations
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Letitia Parcalabescu
Anette Frank
LRM
74
22
0
13 Nov 2023
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
339
12,003
0
04 Mar 2022
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
282
170
0
24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
263
622
0
04 Dec 2018
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