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Siren's Song in the AI Ocean: A Survey on Hallucination in Large
  Language Models

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

3 September 2023
Yue Zhang
Yafu Li
Leyang Cui
Deng Cai
Lemao Liu
Tingchen Fu
Xinting Huang
Enbo Zhao
Yu Zhang
Yulong Chen
Longyue Wang
A. Luu
Wei Bi
Freda Shi
Shuming Shi
    RALM
    LRM
    HILM
ArXivPDFHTML

Papers citing "Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

50 / 81 papers shown
Title
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
Zhangcheng Qiang
Kerry Taylor
Weiqing Wang
Jing Jiang
52
0
0
15 May 2025
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
Nicy Scaria
Silvester John Joseph Kennedy
Diksha Seth
Ananya Thakur
Deepak N. Subramani
AI4Ed
12
0
0
02 May 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Quentin Guimard
Moreno DÍncà
Massimiliano Mancini
Elisa Ricci
SSL
69
0
0
29 Apr 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
X. Wang
Haoyang Li
Zeyang Zhang
H. Chen
Wenwu Zhu
LRM
77
0
0
28 Apr 2025
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
Lorenz Brehme
Thomas Ströhle
Ruth Breu
56
0
0
28 Apr 2025
Beyond Misinformation: A Conceptual Framework for Studying AI Hallucinations in (Science) Communication
Beyond Misinformation: A Conceptual Framework for Studying AI Hallucinations in (Science) Communication
Anqi Shao
52
0
0
18 Apr 2025
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model
Alexander Koebler
Ingo Thon
Florian Buettner
32
0
0
26 Mar 2025
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin
Hansi Zeng
Zhenrui Yue
Dong Wang
Sercan Ö. Arik
Dong Wang
Hamed Zamani
J. Han
RALM
ReLM
KELM
OffRL
AI4TS
LRM
76
18
0
12 Mar 2025
InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions
InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions
Juntong Chen
Jiang Wu
Jiajing Guo
V. Mohanty
Xueming Li
Jorge Henrique Piazentin Ono
Wenbin He
Liu Ren
Dongyu Liu
MLLM
67
2
0
06 Mar 2025
Hallucination Detection in Large Language Models with Metamorphic Relations
Hallucination Detection in Large Language Models with Metamorphic Relations
Borui Yang
Md Afif Al Mamun
Jie M. Zhang
Gias Uddin
HILM
54
0
0
20 Feb 2025
Lines of Thought in Large Language Models
Lines of Thought in Large Language Models
Raphael Sarfati
Toni J. B. Liu
Nicolas Boullé
Christopher Earls
LRM
VLM
LM&Ro
55
1
0
17 Feb 2025
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
Xinxin You
Xien Liu
Qixin Sun
Huan Zhang
Kaiyin Zhou
Shaohui Liu
Guoping Hu
Shijin Wang
Si Liu
Ji Wu
79
0
0
13 Feb 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
52
12
0
28 Jan 2025
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
Ziyao Zhang
Yanlin Wang
Chong Wang
Jiachi Chen
Zibin Zheng
108
11
0
20 Jan 2025
LogLM: From Task-based to Instruction-based Automated Log Analysis
LogLM: From Task-based to Instruction-based Automated Log Analysis
Yilun Liu
Yuhe Ji
Shimin Tao
Minggui He
Weibin Meng
Shenglin Zhang
Yongqian Sun
Yuming Xie
Boxing Chen
Hao Yang
45
2
0
10 Jan 2025
Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
Chun-Yi Kuan
Hung-yi Lee
AuLLM
LRM
56
1
0
03 Jan 2025
Can LLMs be Good Graph Judger for Knowledge Graph Construction?
Can LLMs be Good Graph Judger for Knowledge Graph Construction?
Haoyu Huang
C. L. P. Chen
Conghui He
Yang Li
Jiawei Jiang
W. Zhang
73
1
0
26 Nov 2024
Are Transformers Truly Foundational for Robotics?
Are Transformers Truly Foundational for Robotics?
James A. R. Marshall
Andrew B. Barron
AI4CE
68
0
0
25 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
62
2
0
01 Nov 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large
  Language Models
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv
Jie Wang
Hanzhu Chen
Bin Li
Yongdong Zhang
Feng Wu
HILM
17
3
0
19 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Rui-cang Wang
LRM
36
4
0
17 Oct 2024
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in
  LLMs, Even for Vigilant Users
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
Mengxuan Hu
Hongyi Wu
Zihan Guan
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Sheng Li
SILM
20
3
0
10 Oct 2024
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models
D. B. Hier
Thanh Son Do
Tayo Obafemi-Ajayi
21
0
0
11 Sep 2024
Cost-Effective Hallucination Detection for LLMs
Cost-Effective Hallucination Detection for LLMs
Simon Valentin
Jinmiao Fu
Gianluca Detommaso
Shaoyuan Xu
Giovanni Zappella
Bryan Wang
HILM
22
4
0
31 Jul 2024
Automated Review Generation Method Based on Large Language Models
Automated Review Generation Method Based on Large Language Models
Shican Wu
Xiao Ma
Dehui Luo
Lulu Li
Xiangcheng Shi
...
Ran Luo
Chunlei Pei
Zhijian Zhao
Zhi-Jian Zhao
Jinlong Gong
66
0
0
30 Jul 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
46
0
0
04 Jul 2024
Agentless: Demystifying LLM-based Software Engineering Agents
Agentless: Demystifying LLM-based Software Engineering Agents
Chunqiu Steven Xia
Yinlin Deng
Soren Dunn
Lingming Zhang
LLMAG
32
78
0
01 Jul 2024
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in
  LLMs
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen
Jiatong Han
Muhammed Razzak
Lisa Schut
Shreshth A. Malik
Yarin Gal
HILM
31
33
0
22 Jun 2024
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with
  Sparse Mixture-of-Experts
MoE-RBench\texttt{MoE-RBench}MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen
Xinyu Zhao
Tianlong Chen
Yu Cheng
MoE
54
5
0
17 Jun 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong
Zheng Yuan
Qinggang Zhang
Hao Chen
Junnan Dong
Feiran Huang
Xiao Huang
52
49
0
12 Jun 2024
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Evan Becker
Stefano Soatto
24
6
0
05 Jun 2024
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
Zijian Li
Qingyan Guo
Jiawei Shao
Lei Song
Jiang Bian
Jun Zhang
Rui Wang
RALM
19
11
0
03 Jun 2024
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
Shenghuan Sun
Gregory M. Goldgof
Alexander Schubert
Zhiqing Sun
Thomas Hartvigsen
A. Butte
Ahmed Alaa
LM&MA
22
4
0
29 May 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Beitao Chen
Xinyu Lyu
Lianli Gao
Jingkuan Song
Hengtao Shen
MLLM
47
10
0
24 May 2024
KG-RAG: Bridging the Gap Between Knowledge and Creativity
KG-RAG: Bridging the Gap Between Knowledge and Creativity
Diego Sanmartin
RALM
26
35
0
20 May 2024
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
Minghao Wu
Jiahao Xu
Yulin Yuan
Gholamreza Haffari
Longyue Wang
Weihua Luo
Kaifu Zhang
LLMAG
111
22
0
20 May 2024
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited
  Facts
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
Baolong Bi
Shenghua Liu
Lingrui Mei
Yiwei Wang
Pengliang Ji
Xueqi Cheng
KELM
35
27
0
19 May 2024
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
Prannay Kaul
Zhizhong Li
Hao-Yu Yang
Yonatan Dukler
Ashwin Swaminathan
C. Taylor
Stefano Soatto
HILM
36
15
0
08 May 2024
A Framework for Real-time Safeguarding the Text Generation of Large
  Language Model
A Framework for Real-time Safeguarding the Text Generation of Large Language Model
Ximing Dong
Dayi Lin
Shaowei Wang
Ahmed E. Hassan
20
1
0
29 Apr 2024
Improving the Capabilities of Large Language Model Based Marketing
  Analytics Copilots With Semantic Search And Fine-Tuning
Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning
Yilin Gao
Arava Sai Kumar
Yancheng Li
James W. Snyder
AI4MH
22
2
0
16 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
35
6
0
12 Apr 2024
Multicalibration for Confidence Scoring in LLMs
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
16
12
0
06 Apr 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
Jingyu Zhang
Marc Marone
Tianjian Li
Benjamin Van Durme
Daniel Khashabi
70
9
0
05 Apr 2024
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Fang Liu
Yang Liu
Lin Shi
Houkun Huang
Ruifeng Wang
Zhen Yang
Li Zhang
Zhongqi Li
Yuchi Ma
36
103
0
01 Apr 2024
Evaluating the Factuality of Large Language Models using Large-Scale
  Knowledge Graphs
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
Xiaoze Liu
Feijie Wu
Tianyang Xu
Zhuo Chen
Yichi Zhang
Xiaoqian Wang
Jing Gao
HILM
33
8
0
01 Apr 2024
Training Large Language Models for Reasoning through Reverse Curriculum
  Reinforcement Learning
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
...
Xinbo Zhang
Peng Sun
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
27
20
0
08 Feb 2024
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
57
192
0
22 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and
  Judicial Constraints: The Algorithmic Transparency Requirement
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
20
4
0
18 Jan 2024
Temporal Insight Enhancement: Mitigating Temporal Hallucination in
  Multimodal Large Language Models
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models
Li Sun
Liuan Wang
Jun Sun
Takayuki Okatani
MLLM
11
0
0
18 Jan 2024
KnowledgeNavigator: Leveraging Large Language Models for Enhanced
  Reasoning over Knowledge Graph
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
Tiezheng Guo
Qingwen Yang
Chen Wang
Yanyi Liu
Pan Li
Jiawei Tang
Dapeng Li
Yingyou Wen
RALM
LRM
16
19
0
26 Dec 2023
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