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If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

polish

Pages (from - to)

2853 - 2862

DOI

10.18653/v1/2023.emnlp-main.172

URL

https://aclanthology.org/2023.emnlp-main.172/

Book

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Presented on

Conference on Empirical Methods in Natural Language Processing EMNLP 2023, 6-10.12.2023, Singapore, Singapore

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter

5

Ministry points / conference (CORE)

140

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