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Survey of Hallucination in Natural Language Generation

Survey of Hallucination in Natural Language Generation

8 February 2022
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
Yan Xu
Etsuko Ishii
Yejin Bang
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
    HILM
    LRM
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Papers citing "Survey of Hallucination in Natural Language Generation"

50 / 1,063 papers shown
Title
SLED: Self Logits Evolution Decoding for Improving Factuality in Large
  Language Models
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
Jianyi Zhang
Da-Cheng Juan
Cyrus Rashtchian
Chun-Sung Ferng
Heinrich Jiang
Yiran Chen
43
4
0
01 Nov 2024
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in
  Small Models Fine-tuned on Data from Larger Models
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models
Phil Wee
Riyadh Baghdadi
HILM
34
0
0
31 Oct 2024
GigaCheck: Detecting LLM-generated Content
GigaCheck: Detecting LLM-generated Content
Irina Tolstykh
Aleksandra Tsybina
Sergey Yakubson
Aleksandr Gordeev
Vladimir Dokholyan
Maksim Kuprashevich
DeLMO
48
1
0
31 Oct 2024
The Potential of LLMs in Medical Education: Generating Questions and Answers for Qualification Exams
The Potential of LLMs in Medical Education: Generating Questions and Answers for Qualification Exams
Yunqi Zhu
Wen Tang
Ying Sun
Xuebing Yang
Liyang Dou
Yifan Gu
Yuanyuan Wu
Wensheng Zhang
Ying Sun
Xuebing Yang
LM&MA
ELM
46
1
0
31 Oct 2024
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language
  Models
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models
J. Wu
Tsz Ting Chung
Kai Chen
Dit-Yan Yeung
VLM
LRM
65
3
0
30 Oct 2024
Retrieval-Augmented Generation with Estimation of Source Reliability
Retrieval-Augmented Generation with Estimation of Source Reliability
Jeongyeon Hwang
Junyoung Park
Hyejin Park
Sangdon Park
Jungseul Ok
RALM
42
0
0
30 Oct 2024
Improving Uncertainty Quantification in Large Language Models via
  Semantic Embeddings
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
Yashvir S. Grewal
Edwin V. Bonilla
Thang D. Bui
UQCV
43
4
0
30 Oct 2024
Standardization Trends on Safety and Trustworthiness Technology for
  Advanced AI
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
Jonghong Jeon
36
2
0
29 Oct 2024
Distinguishing Ignorance from Error in LLM Hallucinations
Distinguishing Ignorance from Error in LLM Hallucinations
Adi Simhi
Jonathan Herzig
Idan Szpektor
Yonatan Belinkov
HILM
61
2
0
29 Oct 2024
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
fff-PO: Generalizing Preference Optimization with fff-divergence Minimization
Jiaqi Han
Mingjian Jiang
Yuxuan Song
J. Leskovec
Stefano Ermon
56
3
0
29 Oct 2024
Sorting Out the Bad Seeds: Automatic Classification of Cryptocurrency
  Abuse Reports
Sorting Out the Bad Seeds: Automatic Classification of Cryptocurrency Abuse Reports
Gibran Gómez
Kevin van Liebergen
D. Sanvito
G. Siracusano
Roberto González
Juan Caballero
34
0
0
28 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Mufei Li
Siqi Miao
Pan Li
RALM
38
8
0
28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
29
1
0
26 Oct 2024
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite
  Learning
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu
Shiyu Chang
Tommi Jaakkola
Yang Zhang
28
0
0
25 Oct 2024
Applying sparse autoencoders to unlearn knowledge in language models
Applying sparse autoencoders to unlearn knowledge in language models
Eoin Farrell
Yeu-Tong Lau
Arthur Conmy
MU
35
14
0
25 Oct 2024
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
Xiangyu Zeng
Kunchang Li
Chenting Wang
Xinhao Li
Tianxiang Jiang
...
Zhengrong Yue
Yi Wang
Yali Wang
Yu Qiao
Limin Wang
MLLM
VLM
AI4TS
71
15
0
25 Oct 2024
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating
  Generative Models
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
Changlong Wu
A. Grama
Wojciech Szpankowski
32
1
0
24 Oct 2024
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate
  Hallucinations
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Aryo Pradipta Gema
Chen Jin
Ahmed Abdulaal
Tom Diethe
Philip Teare
Beatrice Alex
Pasquale Minervini
Amrutha Saseendran
26
5
0
24 Oct 2024
Demystifying Large Language Models for Medicine: A Primer
Demystifying Large Language Models for Medicine: A Primer
Qiao Jin
Nicholas Wan
Robert Leaman
Shubo Tian
Zhizheng Wang
...
Chunhua Weng
Ronald M. Summers
Qingyu Chen
Yifan Peng
Zhiyong Lu
LM&MA
42
3
0
24 Oct 2024
Are Large Language Models Ready for Travel Planning?
Are Large Language Models Ready for Travel Planning?
Ruiping Ren
Xing Yao
Shu Cole
Haining Wang
28
0
0
22 Oct 2024
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic
  Entropy
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
Benedict Aaron Tjandra
Muhammed Razzak
Jannik Kossen
Kunal Handa
Yarin Gal
HILM
33
0
0
22 Oct 2024
Enhancing Answer Attribution for Faithful Text Generation with Large
  Language Models
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
Juraj Vladika
Luca Mülln
Florian Matthes
30
0
0
22 Oct 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via
  Reinforcement Learning
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
Zongmeng Zhang
Yufeng Shi
Jinhua Zhu
Wengang Zhou
Xiang Qi
Peng Zhang
Yiming Li
RALM
HILM
24
0
0
22 Oct 2024
PLDR-LLM: Large Language Model from Power Law Decoder Representations
PLDR-LLM: Large Language Model from Power Law Decoder Representations
Burc Gokden
26
1
0
22 Oct 2024
A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs
A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs
Ryosuke Sonoda
Ramya Srinivasan
59
1
0
22 Oct 2024
LLMScan: Causal Scan for LLM Misbehavior Detection
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang
Kai Kiat Goh
Peixin Zhang
Jun Sun
Rose Lin Xin
Hongyu Zhang
25
0
0
22 Oct 2024
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning
Da JU
Song Jiang
A. Cohen
Aaron Foss
Sasha Mitts
...
Brandon Amos
Xian Li
Justine T Kao
Maryam Fazel-Zarandi
Yuandong Tian
LLMAG
27
4
0
21 Oct 2024
Towards a Reliable Offline Personal AI Assistant for Long Duration
  Spaceflight
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight
Oliver Bensch
Leonie Bensch
Tommy Nilsson
Florian Saling
Wafa Sadri
Carsten Hartmann
Tobias Hecking
J. Nathan Kutz
18
0
0
21 Oct 2024
Self-Explained Keywords Empower Large Language Models for Code
  Generation
Self-Explained Keywords Empower Large Language Models for Code Generation
Lishui Fan
Mouxiang Chen
Zhongxin Liu
42
1
0
21 Oct 2024
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs --
  Evaluation through Synthetic Data Generation
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data Generation
Tejumade Afonja
Ivaxi Sheth
Ruta Binkyte
Waqar Hanif
Thomas Ulas
Matthias Becker
Mario Fritz
56
3
0
21 Oct 2024
Reducing Hallucinations in Vision-Language Models via Latent Space
  Steering
Reducing Hallucinations in Vision-Language Models via Latent Space Steering
Sheng Liu
Haotian Ye
Lei Xing
James Zou
VLM
LLMSV
50
5
0
21 Oct 2024
A Prompt Engineering Approach and a Knowledge Graph based Framework for
  Tackling Legal Implications of Large Language Model Answers
A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers
George Hannah
Rita T. Sousa
Ioannis Dasoulas
Claudia dÁmato
AILaw
ELM
41
0
0
19 Oct 2024
Good Parenting is all you need -- Multi-agentic LLM Hallucination
  Mitigation
Good Parenting is all you need -- Multi-agentic LLM Hallucination Mitigation
Ted Kwartler
Matthew Berman
Alan Aqrawi
LLMAG
26
3
0
18 Oct 2024
Montessori-Instruct: Generate Influential Training Data Tailored for
  Student Learning
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li
Zichun Yu
Chenyan Xiong
SyDa
33
1
0
18 Oct 2024
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
Hamed Fayyaz
Raphael Poulain
Rahmatollah Beheshti
40
1
0
18 Oct 2024
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li
Sen Mei
Zhenghao Liu
Yukun Yan
Shuo Wang
...
Huimin Chen
Ge Yu
Zhiyuan Liu
Maosong Sun
Chenyan Xiong
50
7
0
17 Oct 2024
CREAM: Consistency Regularized Self-Rewarding Language Models
CREAM: Consistency Regularized Self-Rewarding Language Models
Zhaoxiang Wang
Weilei He
Zhiyuan Liang
Xuchao Zhang
Chetan Bansal
Ying Wei
Weitong Zhang
Huaxiu Yao
ALM
104
7
0
16 Oct 2024
A Theoretical Survey on Foundation Models
A Theoretical Survey on Foundation Models
Shi Fu
Yuzhu Chen
Yingjie Wang
Dacheng Tao
28
0
0
15 Oct 2024
Towards More Effective Table-to-Text Generation: Assessing In-Context
  Learning and Self-Evaluation with Open-Source Models
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
Sahar Iravani
Tim . O . F Conrad
LMTD
34
0
0
15 Oct 2024
On the Capacity of Citation Generation by Large Language Models
On the Capacity of Citation Generation by Large Language Models
Haosheng Qian
Yixing Fan
Ruqing Zhang
J. Guo
HILM
29
1
0
15 Oct 2024
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
Fangru Lin
Shaoguang Mao
Emanuele La Malfa
Valentin Hofmann
Adrian de Wynter
Jing Yao
Si-Qing Chen
Michael Wooldridge
Furu Wei
Furu Wei
51
2
0
14 Oct 2024
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
S. Yu
C. Tang
Bokai Xu
Junbo Cui
Junhao Ran
...
Zhenghao Liu
Shuo Wang
Xu Han
Zhiyuan Liu
Maosong Sun
VLM
39
23
0
14 Oct 2024
A Multi-LLM Orchestration Engine for Personalized, Context-Rich
  Assistance
A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance
Sumedh Rasal
25
0
0
13 Oct 2024
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in
  Code
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
Nan Jiang
Qi Li
Lin Tan
Tianyi Zhang
HILM
37
1
0
13 Oct 2024
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical
  Domain Adaptation
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation
Hongxin Ding
Yue Fang
Runchuan Zhu
Xinke Jiang
Jinyang Zhang
Yongxin Xu
Xu Chu
Junfeng Zhao
Yasha Wang
30
0
0
13 Oct 2024
NoVo: Norm Voting off Hallucinations with Attention Heads in Large
  Language Models
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
Zheng Yi Ho
Siyuan Liang
Sen Zhang
Yibing Zhan
Dacheng Tao
31
2
0
11 Oct 2024
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia
Daniel Bramblett
D. Dobhal
Siddharth Srivastava
ELM
LRM
35
0
0
11 Oct 2024
The Effects of Hallucinations in Synthetic Training Data for Relation
  Extraction
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction
Steven Rogulsky
Nicholas Popovic
Michael Färber
HILM
35
1
0
10 Oct 2024
MKGL: Mastery of a Three-Word Language
MKGL: Mastery of a Three-Word Language
Lingbing Guo
Zhongpu Bo
Zhuo Chen
Yichi Zhang
Jiaoyan Chen
...
Yangyifei Luo
Qian Li
Qiang Zhang
Wen Zhang
Huajun Chen
34
1
0
10 Oct 2024
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao
Hanze Dong
Amrita Saha
Caiming Xiong
Doyen Sahoo
LRM
35
3
0
10 Oct 2024
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