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. 2305.14552
  4. Cited By
Sources of Hallucination by Large Language Models on Inference Tasks
v1v2 (latest)

Sources of Hallucination by Large Language Models on Inference Tasks

23 May 2023
Nick McKenna
Tianyi Li
Liang Cheng
Mohammad Javad Hosseini
Mark Johnson
Mark Steedman
    LRMHILM
ArXiv (abs)PDFHTML

Papers citing "Sources of Hallucination by Large Language Models on Inference Tasks"

27 / 27 papers shown
Title
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
Sima Noorani
Shayan Kiyani
George Pappas
Hamed Hassani
35
0
0
05 Jun 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs
Jakub Podolak
Rajeev Verma
ReLMLRM
17
0
0
28 May 2025
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs
Ziling Cheng
Meng Cao
Marc-Antoine Rondeau
Jackie Chi Kit Cheung
LRM
46
1
0
28 May 2025
LLMs are Frequency Pattern Learners in Natural Language Inference
LLMs are Frequency Pattern Learners in Natural Language Inference
Liang Cheng
Zhaowei Wang
Mark Steedman
34
0
0
27 May 2025
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing
Zhouhao Sun
Zhiyuan Kan
Xiao Ding
Li Du
Yang Zhao
Bing Qin
Ting Liu
101
0
0
22 May 2025
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
Yingjian Chen
Feiyang Li
Xingyu Song
Tianxiao Li
Zixin Xu
Xiujie Chen
Issey Sukeda
Irene Li
129
0
0
15 Apr 2025
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
Enjun Du
Miao Hu
Tian Jin
Zhihan Zhang
Rong-Hua Li
Guoren Wang
121
4
0
01 Apr 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
Yingjian Chen
Haoran Liu
Yinhong Liu
Rui Yang
Han Yuan
...
Pengyuan Zhou
Peng Yuan Zhou
Qingyu Chen
James Caverlee
Irene Li
HILM
133
0
0
23 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MAAILaw
228
176
0
28 Jan 2025
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning
Jingyao Tang
Lishuang Li
Liteng Mi
Haiming Wu
Hongbin Lu
KELM
106
0
0
03 Jan 2025
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
Moran Yanuka
Assaf Ben-Kish
Yonatan Bitton
Idan Szpektor
Raja Giryes
VLM
149
3
0
13 Nov 2024
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents
Zhe Su
Xuhui Zhou
Sanketh Rangreji
Anubha Kabra
Julia Mendelsohn
Faeze Brahman
Maarten Sap
LLMAG
185
7
0
13 Sep 2024
DataGen: Unified Synthetic Dataset Generation via Large Language Models
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang
Siyuan Wu
Chujie Gao
Dongping Chen
Qihui Zhang
...
Tianyi Zhou
Xiangliang Zhang
Jianfeng Gao
Chaowei Xiao
Lichao Sun
SyDa
116
20
0
27 Jun 2024
Using Large Language Models for Humanitarian Frontline Negotiation:
  Opportunities and Considerations
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
Zilin Ma
Susannah Su
Su
Nathan Zhao
Linn Bieske
...
Boxiang Wang
Jinglun Gao
Zihan Wen
Claude Bruderlein
Weiwei Pan
30
0
0
30 May 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
104
2
0
16 Apr 2024
Know When To Stop: A Study of Semantic Drift in Text Generation
Know When To Stop: A Study of Semantic Drift in Text Generation
Ava Spataru
Eric Hambro
Elena Voita
Nicola Cancedda
56
3
0
08 Apr 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALMLM&MAELM
244
425
0
09 Feb 2024
Can Large Language Model Summarizers Adapt to Diverse Scientific
  Communication Goals?
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
Marcio Fonseca
Shay B. Cohen
85
12
0
18 Jan 2024
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
S. P. Sharan
Francesco Pittaluga
G. VijayKumarB.
Manmohan Chandraker
LRM
124
55
0
30 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts
Artificial Neural Nets and the Representation of Human Concepts
Timo Freiesleben
NAI
74
1
0
08 Dec 2023
Improving the Reliability of Large Language Models by Leveraging
  Uncertainty-Aware In-Context Learning
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning
Yuchen Yang
Houqiang Li
Yanfeng Wang
Yu Wang
75
25
0
07 Oct 2023
Foundation Metrics for Evaluating Effectiveness of Healthcare
  Conversations Powered by Generative AI
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI
Mahyar Abbasian
Elahe Khatibi
Iman Azimi
David Oniani
Zahra Shakeri Hossein Abad
...
Bryant Lin
Olivier Gevaert
Li-Jia Li
Ramesh C. Jain
Amir M. Rahmani
LM&MAELMAI4MH
136
75
0
21 Sep 2023
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Reasoning about the Unseen for Efficient Outdoor Object Navigation
Quanting Xie
Tianyi Zhang
Kedi Xu
Matthew Johnson-Roberson
Yonatan Bisk
LRM
104
11
0
18 Sep 2023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
120
81
0
13 Sep 2023
Sparks of Large Audio Models: A Survey and Outlook
Sparks of Large Audio Models: A Survey and Outlook
S. Latif
Moazzam Shoukat
Fahad Shamshad
Muhammad Usama
Yi Ren
...
Wenwu Wang
Xulong Zhang
Roberto Togneri
Min Zhang
Björn W. Schuller
LM&MAAuLLM
188
39
0
24 Aug 2023
MasterKey: Automated Jailbreak Across Multiple Large Language Model
  Chatbots
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
Gelei Deng
Yi Liu
Yuekang Li
Kailong Wang
Ying Zhang
Zefeng Li
Haoyu Wang
Tianwei Zhang
Yang Liu
SILM
91
135
0
16 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
171
348
0
05 Jul 2023
1