Survey of Hallucination in Natural Language Generation

Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based language models. This advancement has led to more fluent and coherent NLG, leading to improved development in downstream...

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Bibliographic Details
Published in:ACM computing surveys 2023-12, Vol.55 (12), p.1-38, Article 248
Main Authors: Ji, Ziwei, Lee, Nayeon, Frieske, Rita, Yu, Tiezheng, Su, Dan, Xu, Yan, Ishii, Etsuko, Bang, Ye Jin, Madotto, Andrea, Fung, Pascale
Format: Article
Language:English
Subjects:
Computer science
Computing methodologies
Deep learning
Hallucinations
Machine translation
Natural language
Natural language generation
Natural language processing
Neural networks
Speech recognition
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