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A Survey of Hallucination in Large Foundation Models

A Survey of Hallucination in Large Foundation Models

12 September 2023
Vipula Rawte
A. Sheth
Amitava Das
    HILM
    LRM
ArXivPDFHTML

Papers citing "A Survey of Hallucination in Large Foundation Models"

35 / 35 papers shown
Title
Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation
Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation
Xiaozhao Liu
Dinggang Shen
Xihui Liu
58
0
0
21 May 2025
Policy Contrastive Decoding for Robotic Foundation Models
Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu
Ji Zhang
Xu Luo
Junlin Xie
Jingkuan Song
Heng Tao Shen
Lianli Gao
OffRL
215
0
0
19 May 2025
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
Xinlong Chen
Yuanxing Zhang
Qiang Liu
Junfei Wu
Fuzheng Zhang
Tieniu Tan
MLLM
67
0
0
17 May 2025
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
Yuanchang Ye
Weiyan Wen
VLM
443
0
0
24 Apr 2025
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
Chanyeol Choi
Jihoon Kwon
Jaeseon Ha
Hojun Choi
Chaewoon Kim
Yongjae Lee
Jy-yong Sohn
Alejandro Lopez-Lira
RALM
133
0
0
22 Apr 2025
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
Zihan Ling
Zhiyao Guo
Yixuan Huang
Yi An
Shuai Xiao
Jinsong Lan
Xiaoyong Zhu
Bo Zheng
RALM
VLM
101
0
0
14 Apr 2025
Leveraging Modality Tags for Enhanced Cross-Modal Video Retrieval
Leveraging Modality Tags for Enhanced Cross-Modal Video Retrieval
A. Fragomeni
Dima Damen
Michael Wray
93
0
0
02 Apr 2025
Can Large Language Models Extract Customer Needs as well as Professional Analysts?
Artem Timoshenko
Chengfeng Mao
J. Hauser
ELM
101
0
0
25 Feb 2025
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Nicolas Boizard
Kevin El Haddad
C´eline Hudelot
Pierre Colombo
113
17
0
28 Jan 2025
ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems
ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems
Mohita Chowdhury
Yajie Vera He
Aisling Higham
Ernest Lim
126
1
0
14 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
109
7
0
03 Jan 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
165
14
0
03 Jan 2025
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
Hanguang Xiao
Feizhong Zhou
Xianglong Liu
Tianqi Liu
Zhipeng Li
Xin Liu
Xiaoxuan Huang
AILaw
LM&MA
LRM
97
25
0
31 Dec 2024
Where am I? Cross-View Geo-localization with Natural Language Descriptions
Where am I? Cross-View Geo-localization with Natural Language Descriptions
Junyan Ye
Honglin Lin
Leyan Ou
Dairong Chen
Zihao Wang
Zeang Sheng
Weijia Li
Weijia Li
152
0
0
22 Dec 2024
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
Jiaqi Wang
Yifei Gao
Jitao Sang
MLLM
152
2
0
24 Nov 2024
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
Vipula Rawte
Sarthak Jain
Aarush Sinha
Garv Kaushik
Aman Bansal
...
Aishwarya N. Reganti
Vinija Jain
Aman Chadha
A. Sheth
A. Das
VLM
MLLM
182
1
0
16 Nov 2024
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
QiHong Chen
Jiawei Li
Jiecheng Deng
Jiachen Yu
Justin Tian Jin Chen
Iftekhar Ahmed
110
1
0
03 Nov 2024
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
Xingyu Tan
Xiaoyang Wang
Qing Liu
Xiwei Xu
Xin Yuan
Wenjie Zhang
LRM
138
8
0
18 Oct 2024
LLM-Human Pipeline for Cultural Context Grounding of Conversations
LLM-Human Pipeline for Cultural Context Grounding of Conversations
Rajkumar Pujari
Dan Goldwasser
66
1
0
17 Oct 2024
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
Yongqin Xu
Huan Li
Ke Chen
Lidan Shou
84
4
0
16 Oct 2024
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Chenxi Wang
Xiang Chen
N. Zhang
Bozhong Tian
Haoming Xu
Shumin Deng
Ningyu Zhang
MLLM
LRM
178
10
0
15 Oct 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
102
1
0
04 Jul 2024
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
Harry Li
G. Appleby
Ashley Suh
59
2
0
07 Jun 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
153
12
0
25 Mar 2024
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
Frank Breitinger
Mark Scanlon
96
9
0
29 Feb 2024
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak
  Large Language Models
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
Mohamed S. Elaraby
Mengyin Lu
Jacob Dunn
Xueying Zhang
Yu Wang
Shizhu Liu
Pingchuan Tian
Yuping Wang
Yuxuan Wang
HILM
55
27
0
22 Aug 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of
  LLMs by Validating Low-Confidence Generation
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Neeraj Varshney
Wenlin Yao
Hongming Zhang
Jianshu Chen
Dong Yu
HILM
91
169
0
08 Jul 2023
Citation: A Key to Building Responsible and Accountable Large Language
  Models
Citation: A Key to Building Responsible and Accountable Large Language Models
Jie Huang
Kevin Chen-Chuan Chang
HILM
67
19
0
05 Jul 2023
Self-contradictory Hallucinations of Large Language Models: Evaluation,
  Detection and Mitigation
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler
Jingxuan He
Slobodan Jenko
Martin Vechev
HILM
57
114
0
25 May 2023
PURR: Efficiently Editing Language Model Hallucinations by Denoising
  Language Model Corruptions
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Anthony Chen
Panupong Pasupat
Sameer Singh
Hongrae Lee
Kelvin Guu
85
43
0
24 May 2023
mmT5: Modular Multilingual Pre-Training Solves Source Language
  Hallucinations
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations
Jonas Pfeiffer
Francesco Piccinno
Massimo Nicosia
Xinyi Wang
Machel Reid
Sebastian Ruder
VLM
LRM
63
29
0
23 May 2023
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
82
257
0
17 Oct 2022
Plausible May Not Be Faithful: Probing Object Hallucination in
  Vision-Language Pre-training
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Wenliang Dai
Zihan Liu
Ziwei Ji
Dan Su
Pascale Fung
MLLM
VLM
72
67
0
14 Oct 2022
Object Hallucination in Image Captioning
Object Hallucination in Image Captioning
Anna Rohrbach
Lisa Anne Hendricks
Kaylee Burns
Trevor Darrell
Kate Saenko
183
428
0
06 Sep 2018
Dense-Captioning Events in Videos
Dense-Captioning Events in Videos
Ranjay Krishna
Kenji Hata
F. Ren
Li Fei-Fei
Juan Carlos Niebles
134
1,242
0
02 May 2017
1