Recent Developments on Accountability and Explainability for Complex Reasoning Tasks-Reference-Cited by-同舟云学术

Recent Developments on Accountability and Explainability for Complex Reasoning Tasks

Published:2024 Issue: Volume: Page:191-199
ISSN:
Container-title:Accountable and Explainable Methods for Complex Reasoning over Text
language:en
Short-container-title:

Author:

Atanasova Pepa

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51518-7_9

Reference35 articles.

1. Abdelnabi S, Fritz M (2023) Fact-saboteurs: a taxonomy of evidence manipulation attacks against fact-verification systems. In: 32nd USENIX Security Symposium (USENIX Security 23), pp 6719–6736

2. Aly R, Strong M, Vlachos A (2023) QA-NatVer: question answering for natural logic-based fact verification. arXiv preprint arXiv:231014198

3. Angeli G, Manning CD (2014) NaturalLI: natural logic inference for common sense reasoning. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Doha, Qatar, pp 534–545. https://doi.org/10.3115/v1/D14-1059. https://aclanthology.org/D14-1059

4. Arora S, Pruthi D, Sadeh N, Cohen WW, Lipton ZC, Neubig G (2022) Explain, edit, and understand: rethinking user study design for evaluating model explanations. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol 36, pp 5277–5285

5. Atanasova P, Camburu OM, Lioma C, Lukasiewicz T, Simonsen JG, Augenstein I (2023) Faithfulness tests for natural language explanations. In: Rogers A, Boyd-Graber J, Okazaki N (eds) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Association for Computational Linguistics, Toronto, Canada, pp 283–294. https://doi.org/10.18653/v1/2023.acl-short.25. https://aclanthology.org/2023.acl-short.25