Detecting Hallucinated Content in Conditional Neural Sequence Generation - ACL Anthology

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Detecting Hallucinated Content in Conditional Neural Sequence Generation

Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad

Anthology ID:: 2021.findings-acl.120
Volume:: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:: August
Year:: 2021
Address:: Online
Editors:: Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1393–1404
Language:
URL:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.120/
DOI:: 10.18653/v1/2021.findings-acl.120
Bibkey:
Cite (ACL):: Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzmán, Luke Zettlemoyer, and Marjan Ghazvininejad. 2021. Detecting Hallucinated Content in Conditional Neural Sequence Generation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1393–1404, Online. Association for Computational Linguistics.
Cite (Informal):: Detecting Hallucinated Content in Conditional Neural Sequence Generation (Zhou et al., Findings 2021)
Copy Citation:
PDF:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.120.pdf
Video:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.120.mp4
Code: violet-zct/fairseq-detect-hallucination + additional community code
Data: FLoRes

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