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The Pitfalls of Defining Hallucination

The Pitfalls of Defining Hallucination

15 January 2024
Kees van Deemter
    HILM
ArXivPDFHTML

Papers citing "The Pitfalls of Defining Hallucination"

8 / 8 papers shown
Title
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu
Sanjay Jain
Mohan S. Kankanhalli
HILM
LRM
87
235
0
22 Jan 2024
Detecting and Mitigating Hallucinations in Machine Translation: Model
  Internal Workings Alone Do Well, Sentence Similarity Even Better
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
David Dale
Elena Voita
Loïc Barrault
Marta R. Costa-jussá
HILM
115
70
0
16 Dec 2022
Human Evaluation and Correlation with Automatic Metrics in Consultation
  Note Generation
Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation
Francesco Moramarco
Alex Papadopoulos Korfiatis
Mark Perera
Damir Juric
Jack Flann
Ehud Reiter
Anya Belz
Aleksandar Savkov
21
48
0
01 Apr 2022
The Curious Case of Hallucinations in Neural Machine Translation
The Curious Case of Hallucinations in Neural Machine Translation
Vikas Raunak
Arul Menezes
Marcin Junczys-Dowmunt
112
192
0
14 Apr 2021
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text
  Systems
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems
Craig Thomson
Ehud Reiter
42
52
0
08 Nov 2020
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation
  with Semantic Fidelity
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity
Hamza Harkous
Isabel Groves
Amir Saffari
41
89
0
08 Apr 2020
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
304
1,215
0
12 Jun 2017
Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt
E. Krahmer
LM&MA
ELM
60
814
0
29 Mar 2017
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