ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.05232
  4. Cited By
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

9 November 2023
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
Haotian Wang
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
    LRM
    HILM
ArXivPDFHTML

Papers citing "A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions"

50 / 106 papers shown
Title
Exploring LLMs for Malware Detection: Review, Framework Design, and
  Countermeasure Approaches
Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches
Jamal N. Al-Karaki
Muhammad Al-Zafar Khan
Marwan Omar
23
4
0
11 Sep 2024
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma
Weidong Yang
Sihang Jiang
Ben Fei
Mingjie Zhou
Shuhao Li
Bo Xu
Bo Xu
Yanghua Xiao
47
0
0
03 Sep 2024
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of
  Audio-Guided LLM-Based Robot Navigation
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation
Xingpeng Sun
Yiran Zhang
Xindi Tang
Amrit Singh Bedi
Aniket Bera
34
4
0
03 Aug 2024
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
Sangwon Yu
Jongyoon Song
Bongkyu Hwang
Hoyoung Kang
Sooah Cho
Junhwa Choi
Seongho Joe
Taehee Lee
Youngjune Gwon
Sungroh Yoon
72
4
0
31 Jul 2024
An Empirical Study of Retrieval Augmented Generation with
  Chain-of-Thought
An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
Yuetong Zhao
Hongyu Cao
Xianyu Zhao
Zhijian Ou
RALM
LRM
16
3
0
22 Jul 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
70
30
0
11 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
Teola: Towards End-to-End Optimization of LLM-based Applications
Teola: Towards End-to-End Optimization of LLM-based Applications
Xin Tan
Yimin Jiang
Yitao Yang
Hong-Yu Xu
45
4
0
29 Jun 2024
REAL Sampling: Boosting Factuality and Diversity of Open-Ended
  Generation via Asymptotic Entropy
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
Haw-Shiuan Chang
Nanyun Peng
Mohit Bansal
Anil Ramakrishna
Tagyoung Chung
HILM
25
2
0
11 Jun 2024
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
Bairu Hou
Yang Zhang
Jacob Andreas
Shiyu Chang
57
5
0
11 Jun 2024
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
Jianing Yang
Xuweiyi Chen
Nikhil Madaan
Madhavan Iyengar
Shengyi Qian
David Fouhey
Joyce Chai
3DV
61
11
0
07 Jun 2024
The Challenges of Evaluating LLM Applications: An Analysis of Automated,
  Human, and LLM-Based Approaches
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches
Bhashithe Abeysinghe
Ruhan Circi
ELM
21
21
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
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Zhi Zheng
Qian Feng
Hang Li
Alois C. Knoll
Jianxiang Feng
44
6
0
01 Jun 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
N. V. Stein
Thomas Bäck
23
10
0
30 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
38
27
0
19 May 2024
Evaluation of Retrieval-Augmented Generation: A Survey
Evaluation of Retrieval-Augmented Generation: A Survey
Hao Yu
Aoran Gan
Kai Zhang
Shiwei Tong
Qi Liu
Zhaofeng Liu
3DV
52
78
0
13 May 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang
Haoyuan Peng
Shanshan Feng
Fan Li
Dongsheng Li
LRM
KELM
30
13
0
09 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
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
54
36
0
23 Apr 2024
Multicalibration for Confidence Scoring in LLMs
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
19
12
0
06 Apr 2024
CONFLARE: CONFormal LArge language model REtrieval
CONFLARE: CONFormal LArge language model REtrieval
Pouria Rouzrokh
S. Faghani
Cooper Gamble
Moein Shariatnia
Bradley J. Erickson
3DV
RALM
24
2
0
04 Apr 2024
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream
  Neural Network Enhancement with LLMs
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs
Xiao Liu
Jiawei Zhang
22
0
0
29 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
42
17
0
28 Feb 2024
Visual Hallucinations of Multi-modal Large Language Models
Visual Hallucinations of Multi-modal Large Language Models
Wen Huang
Hongbin Liu
Minxin Guo
Neil Zhenqiang Gong
MLLM
VLM
24
24
0
22 Feb 2024
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine
Erblin Isaku
Christoph Laaber
Hassan Sartaj
Shaukat Ali
T. Schwitalla
J. F. Nygård
22
2
0
16 Feb 2024
LitLLM: A Toolkit for Scientific Literature Review
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal
I. Laradji
Laurent Charlin
Christopher Pal
Krishnamurthy DJ Dvijotham
Jason Stanley
Laurent Charlin
Christopher Pal
31
20
0
02 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
10
75
0
25 Jan 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
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
25
4
0
11 Dec 2023
Enhancing Scene Graph Generation with Hierarchical Relationships and
  Commonsense Knowledge
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
Bowen Jiang
Zhijun Zhuang
Shreyas S. Shivakumar
Camillo J. Taylor
14
6
0
21 Nov 2023
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for
  Reasoning Problems
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Kaya Stechly
Matthew Marquez
Subbarao Kambhampati
LRM
155
84
0
19 Oct 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
75
246
0
22 May 2023
Progressive Translation: Improving Domain Robustness of Neural Machine
  Translation with Intermediate Sequences
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences
Chaojun Wang
Y. Liu
Wai Lam
24
2
0
16 May 2023
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang
Hung-yi Lee
ALM
LM&MA
201
559
0
03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
57
91
0
03 May 2023
The Internal State of an LLM Knows When It's Lying
The Internal State of an LLM Knows When It's Lying
A. Azaria
Tom Michael Mitchell
HILM
210
297
0
26 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
197
2,232
0
22 Mar 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELM
LRM
138
151
0
31 Dec 2022
Calibrating Factual Knowledge in Pretrained Language Models
Calibrating Factual Knowledge in Pretrained Language Models
Qingxiu Dong
Damai Dai
Yifan Song
Jingjing Xu
Zhifang Sui
Lei Li
KELM
219
81
0
07 Oct 2022
A Distributional Lens for Multi-Aspect Controllable Text Generation
A Distributional Lens for Multi-Aspect Controllable Text Generation
Yuxuan Gu
Xiaocheng Feng
Sicheng Ma
Lingyuan Zhang
Heng Gong
Bing Qin
108
36
0
06 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
210
318
0
21 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
234
447
0
14 Jul 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
117
90
0
30 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
139
156
0
18 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
236
1,508
0
31 Dec 2020
Previous
123
Next