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Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations

25 June 2021
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
ArXivPDFHTML

Papers citing "Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations"

5 / 5 papers shown
Title
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
8
1
0
22 May 2023
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
112
35
0
16 Dec 2020
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
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
252
618
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
225
3,658
0
28 Feb 2017
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