Rationalization for Explainable NLP: A Survey

Rationalization for Explainable NLP: A Survey

21 January 2023

Ismini Lourentzou

Laura J. Freeman

Feras A. Batarseh

Papers citing "Rationalization for Explainable NLP: A Survey"

11 / 11 papers shown

Title
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models Bowen Wang Jiuyang Chang Yiming Qian Guoxin Chen Junhao Chen Zhouqiang Jiang Jiahao Zhang Yuta Nakashima Hajime Nagahara LM&MA ELM LRM 38 3 0 04 Aug 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 35 0 0 19 Jul 2024
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models Barry Menglong Yao Aditya Shah Lichao Sun Jin-Hee Cho Lifu Huang MLLM LRM 28 77 0 25 May 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 27 65 0 15 Nov 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 197 0 22 Mar 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,417 0 22 Aug 2019
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
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 219 201 0 06 Jul 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 193 292 0 15 Oct 2012