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2204.07931
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On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
17 April 2022
Nouha Dziri
Sivan Milton
Mo Yu
Osmar Zaiane
Siva Reddy
HILM
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Papers citing
"On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?"
50 / 126 papers shown
Title
Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
Shahin Atakishiyev
H. Babiker
Jiayi Dai
Nawshad Farruque
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...
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Iain Smith
Mi-Young Kim
Osmar R. Zaïane
Randy Goebel
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137
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20 Oct 2025
Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation
Zhichao Xu
Zongyu Wu
Yun Zhou
Aosong Feng
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...
Yijun Tian
Xuan Qi
Weikang Qiu
Lin Lee Cheong
Haibo Ding
OffRL
RALM
LRM
124
0
0
15 Oct 2025
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
Jung-Woo Shim
Yeong-Joon Ju
Ji-Hoon Park
Seong-Whan Lee
LRM
88
0
0
14 Oct 2025
Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
Gagan Bhatia
Somayajulu G Sripada
Kevin Allan
Jacobo Azcona
HILM
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262
0
0
07 Oct 2025
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
Elisei Rykov
Kseniia Petrushina
Maksim Savkin
Valerii Olisov
Artem Vazhentsev
Kseniia Titova
Ilseyar Alimova
Vasily Konovalov
Julia Belikova
HILM
157
2
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06 Oct 2025
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong
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Mark Dras
Usman Naseem
LLMSV
171
1
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26 Sep 2025
LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
MohamamdJavad Ardestani
Ehsan Kamalloo
Davood Rafiei
92
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20 Aug 2025
Can LLMs Generate High-Quality Task-Specific Conversations?
Shengqi Li
Amarnath Gupta
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146
0
0
04 Aug 2025
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
Yijun Feng
HILM
78
3
0
03 Aug 2025
Trust the Model: Compact VLMs as In-Context Judges for Image-Text Data Quality
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Kesen Wang
Sherif Mohamed
Abdulaziz Al-Badawi
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Pedro J. Moreno
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175
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27 Jul 2025
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Md Nahiyan Uddin
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Trayce Hockstad
Mizanur Rahman
M. Chowdhury
B. Thuraisingham
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365
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João Eduardo Batista
Emil Vatai
Mohamed Wahib
418
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0
19 May 2025
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Jihao Zhao
Chunlai Zhou
Daixuan Li
Shuaishuai Zu
Biao Qin
295
0
0
05 May 2025
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Yiyou Sun
Y. Gai
Lijie Chen
Abhilasha Ravichander
Yejin Choi
Basel Alomair
HILM
324
10
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17 Apr 2025
Bián: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation
Zhouyu Jiang
Mengshu Sun
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Lei Liang
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650
1
0
26 Feb 2025
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models
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Frank Palma Gomez
Tu Vu
Zefei Li
Daniel Cer
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Chris Tar
Arman Cohan
Gustavo Hernández Ábrego
259
5
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VERITAS: A Unified Approach to Reliability Evaluation
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Meghana Arakkal Rajeev
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HILM
228
1
0
05 Nov 2024
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models
Phil Wee
Riyadh Baghdadi
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194
1
0
31 Oct 2024
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
International Conference on Learning Representations (ICLR), 2024
Changlong Wu
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164
3
0
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Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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Prasanna Parthasarathi
Mehdi Rezagholizadeh
Boxing Chen
Sarath Chandar
502
3
0
22 Oct 2024
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Sagi Shaier
Ari Kobren
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303
16
0
05 Oct 2024
Decoding Hate: Exploring Language Models' Reactions to Hate Speech
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Paloma Piot
Javier Parapar
243
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0
01 Oct 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Hanzhu Chen
Xu Shen
Qitan Lv
Jie Wang
Xiaoqi Ni
Jieping Ye
173
25
0
22 Sep 2024
VERA: Validation and Enhancement for Retrieval Augmented systems
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Tanay Baswa
Divyanshu Kumar
Jatan Loya
Sahil Agarwal
P. Harshangi
VLM
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164
1
0
18 Sep 2024
ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2024
Priyesh Vakharia
Abigail Kufeldt
Max Meyers
Ian Lane
Leilani H. Gilpin
160
4
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Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Jiri Hron
Laura J. Culp
Gamaleldin F. Elsayed
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Ben Adlam
...
T. Warkentin
Lechao Xiao
Kelvin Xu
Jasper Snoek
Simon Kornblith
141
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14 Aug 2024
Development of REGAI: Rubric Enabled Generative Artificial Intelligence
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159
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251
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Enhancing Agent Learning through World Dynamics Modeling
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318
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From Sands to Mansions: Towards Automated Cyberattack Emulation with Classical Planning and Large Language Models
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Zonghan Guo
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Kyle Jung
Kedar Thiagarajan
Jiahui Wang
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Emily Wei
Xiangmin Shen
257
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24 Jul 2024
Multilingual Fine-Grained News Headline Hallucination Detection
Jiaming Shen
Tianqi Liu
Jialu Liu
Zhen Qin
Jay Pavagadhi
Simon Baumgartner
Michael Bendersky
165
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Questionable practices in machine learning
Gavin Leech
Juan J. Vazquez
Misha Yagudin
Niclas Kupper
Laurence Aitchison
244
6
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Look Within, Why LLMs Hallucinate: A Causal Perspective
He Li
Haoang Chi
Mingyu Liu
Wenjing Yang
LRM
161
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14 Jul 2024
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
Marios Constantinides
Edyta Bogucka
S. Šćepanović
Daniele Quercia
316
13
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Lynx: An Open Source Hallucination Evaluation Model
Selvan Sunitha Ravi
B. Mielczarek
Anand Kannappan
Douwe Kiela
Rebecca Qian
VLM
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262
41
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11 Jul 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
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Sha Li
Jiateng Liu
Pengfei Yu
Yi R. Fung
Jing Li
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Heng Ji
326
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PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models
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Wenge Rong
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165
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Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
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Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
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617
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Bowei He
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Irwin King
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251
20
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Detecting Response Generation Not Requiring Factual Judgment
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Daiki Shiono
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Jun Suzuki
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127
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Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges
Abhilasha Sancheti
Koustava Goswami
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222
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Confabulation: The Surprising Value of Large Language Model Hallucinations
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Peiqi Sui
Eamon Duede
Sophie Wu
Richard Jean So
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213
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Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
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292
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Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost
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385
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352
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Yuzhe Gu
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192
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CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
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176
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Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link Prediction
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Huang-Ting Shieh
Chih-Yu Liu
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Hsiao-Cheng Chang
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LRM
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222
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Aviv Slobodkin
Eran Hirsch
Arie Cattan
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Ido Dagan
358
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AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
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173
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