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 …
the development of sequence-to-sequence deep learning technologies such as Transformer …
Survey of Hallucination in Natural Language Generation
Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii… - arXiv preprint arXiv …, 2022 - arxiv.org
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …
the development of sequence-to-sequence deep learning technologies such as Transformer …
[PDF][PDF] Survey of Hallucination in Natural Language Generation
YB ISHII, A MADOTTO, P FUNG - ACM Comput. Surv, 2022 - thetalkingmachines.com
Abstract 1 Contents 1 1 Introduction 3 2 Definitions 4 2.1 Categorization 4 2.2 Task
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …
[PDF][PDF] Survey of Hallucination in Natural Language Generation
YB ISHII, A MADOTTO, P FUNG - ACM Comput. Surv, 2022 - academia.edu
Abstract 1 Contents 1 1 Introduction 3 2 Definitions 4 2.1 Categorization 4 2.2 Task
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …
Survey of Hallucination in Natural Language Generation
Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii… - ACM Computing …, 2023 - cir.nii.ac.jp
抄録< jats: p> Natural Language Generation (NLG) has improved exponentially in recent
years thanks to the development of sequence-to-sequence deep learning technologies such …
years thanks to the development of sequence-to-sequence deep learning technologies such …
Survey of Hallucination in Natural Language Generation
Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Abstract Natural Language Generation (NLG) has improved exponentially in recent years
thanks to the development of sequence-to-sequence deep learning technologies such as …
thanks to the development of sequence-to-sequence deep learning technologies such as …
[PDF][PDF] Survey of Hallucination in Natural Language Generation
YB ISHII, A MADOTTO, P FUNG - ACM Comput. Surv, 2022 - thetalkingmachines.com
Abstract 1 Contents 1 1 Introduction 3 2 Definitions 4 2.1 Categorization 4 2.2 Task
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …
Comparison 4 2.3 Terminology Clarification 5 3 Contributors to Hallucinations in NLG 7 3.1 …