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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
ArXiv (abs)PDFHTML

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

13 / 13 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
105
67
0
29 May 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
OSLMALM
886
13,207
0
04 Mar 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
61
149
0
16 Dec 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural
  Language Processing
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
75
146
0
24 Feb 2021
Persistent Anti-Muslim Bias in Large Language Models
Persistent Anti-Muslim Bias in Large Language Models
Abubakar Abid
Maheen Farooqi
James Zou
AILaw
108
557
0
14 Jan 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
313
182
0
24 Oct 2020
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLMLRM
89
566
0
06 Jun 2019
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
95
558
0
21 Dec 2018
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
427
641
0
04 Dec 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
155
1,180
0
06 Mar 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,497
0
18 Apr 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
326
4,297
0
21 Aug 2015
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