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REV: Information-Theoretic Evaluation of Free-Text Rationales

REV: Information-Theoretic Evaluation of Free-Text Rationales

10 October 2022
Hanjie Chen
Faeze Brahman
Xiang Ren
Yangfeng Ji
Yejin Choi
Swabha Swayamdipta
ArXivPDFHTML

Papers citing "REV: Information-Theoretic Evaluation of Free-Text Rationales"

5 / 5 papers shown
Title
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
300
5,177
0
28 Jan 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Understanding Dataset Difficulty with V\mathcal{V}V-Usable Information
Kawin Ethayarajh
Yejin Choi
Swabha Swayamdipta
132
157
0
16 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
257
151
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
241
553
0
04 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
219
2,098
0
28 Feb 2017
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