Work

Faithfulness Tests for Natural Language Explanations

Year: 2023

Type: conference-paper

Abstract: Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2023.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2023.acl-short.25

Authors: Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein

Institutions: University of Copenhagen, University College London, TU Wien, University of Oxford

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Alan Turing Institute, Leverhulme Trust, European Commission, Danmarks Grundforskningsfond, AXA Research Fund, Engineering and Physical Sciences Research Council

Awards: G1309768829, G1633672591, TALENT Doctoral Fellowship Programme, G3855435662, G434337789, G444630160, The Alan Turing Institute, G777199097, Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

OpenAlex ID: W4385571986

FWCI: 4.303

Cites: 39

Cited by: 24

Related to: 10