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Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

9 May 2024
Zorik Gekhman
G. Yona
Roee Aharoni
Matan Eyal
Amir Feder
Roi Reichart
Jonathan Herzig
ArXivPDFHTML

Papers citing "Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?"

31 / 31 papers shown
Title
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
Xiang Liu
Zhaoxiang Liu
Peng Wang
Kohou Wang
Huan Hu
Kai Wang
Shiguo Lian
115
0
0
23 May 2025
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)
Clayton Cohn
Surya Rayala
Caitlin Snyder
J. Fonteles
Shruti Jain
...
Ashwin T S
Namrata Srivastava
Menton Deweese
Angela Eeds
Gautam Biswas
RALM
40
0
0
22 May 2025
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
Qihuang Zhong
Liang Ding
Xiantao Cai
Juhua Liu
Bo Du
Dacheng Tao
63
0
0
21 May 2025
The Hallucination Tax of Reinforcement Finetuning
The Hallucination Tax of Reinforcement Finetuning
Linxin Song
Taiwei Shi
Jieyu Zhao
HILM
LRM
65
0
0
20 May 2025
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
Junxiao Yang
Jinzhe Tu
Haoran Liu
Xiaoce Wang
Chujie Zheng
...
Caishun Chen
Tiantian He
Hongning Wang
Yew-Soon Ong
Minlie Huang
LRM
67
0
0
18 May 2025
Critique-Guided Distillation: Improving Supervised Fine-tuning via Better Distillation
Critique-Guided Distillation: Improving Supervised Fine-tuning via Better Distillation
Berkcan Kapusuzoglu
Supriyo Chakraborty
Chia-Hsuan Lee
Sambit Sahu
62
0
0
16 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
99
3
0
01 May 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
140
2
0
16 Dec 2024
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
72
2
0
13 Nov 2024
Improving Model Factuality with Fine-grained Critique-based Evaluator
Improving Model Factuality with Fine-grained Critique-based Evaluator
Yiqing Xie
Wenxuan Zhou
Pradyot Prakash
Di Jin
Yuning Mao
...
Sinong Wang
Han Fang
Carolyn Rose
Daniel Fried
Hejia Zhang
HILM
87
6
0
24 Oct 2024
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park
Chanwoong Yoon
Jungwoo Park
Donghyeon Lee
Minbyul Jeong
Jaewoo Kang
KELM
105
1
0
13 Oct 2024
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Yuan Sui
Yufei He
Zifeng Ding
Bryan Hooi
HILM
RALM
ELM
106
9
0
10 Oct 2024
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
Yougang Lyu
Lingyong Yan
Zihan Wang
Dawei Yin
Pengjie Ren
Maarten de Rijke
Zhaochun Ren
91
8
0
10 Oct 2024
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad
Michael Toker
Zorik Gekhman
Roi Reichart
Idan Szpektor
Hadas Kotek
Yonatan Belinkov
HILM
AIFin
92
37
0
03 Oct 2024
Prompt Obfuscation for Large Language Models
Prompt Obfuscation for Large Language Models
David Pape
Thorsten Eisenhofer
Thorsten Eisenhofer
Lea Schönherr
AAML
87
4
0
17 Sep 2024
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij
Felix Hofstätter
Ollie Jaffe
Samuel F. Brown
Francis Rhys Ward
ELM
69
27
0
11 Jun 2024
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Yipeng Zhang
Haitao Mi
Helen Meng
CLL
KELM
105
5
0
10 Jun 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
191
363
0
21 Mar 2024
Fine-tuning Language Models for Factuality
Fine-tuning Language Models for Factuality
Katherine Tian
Eric Mitchell
Huaxiu Yao
Christopher D. Manning
Chelsea Finn
KELM
HILM
SyDa
57
172
0
14 Nov 2023
The False Promise of Imitating Proprietary LLMs
The False Promise of Imitating Proprietary LLMs
Arnav Gudibande
Eric Wallace
Charles Burton Snell
Xinyang Geng
Hao Liu
Pieter Abbeel
Sergey Levine
Dawn Song
ALM
93
202
0
25 May 2023
Discovering Latent Knowledge in Language Models Without Supervision
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns
Haotian Ye
Dan Klein
Jacob Steinhardt
109
350
0
07 Dec 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a Transformer
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELM
VLM
101
543
0
13 Oct 2022
A Review on Language Models as Knowledge Bases
A Review on Language Models as Knowledge Bases
Badr AlKhamissi
Millicent Li
Asli Celikyilmaz
Mona T. Diab
Marjan Ghazvininejad
KELM
73
185
0
12 Apr 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
170
1,308
0
10 Feb 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
61
679
0
16 Dec 2021
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
HILM
78
389
0
18 Nov 2021
Simple Entity-Centric Questions Challenge Dense Retrievers
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino
Zexuan Zhong
Jinhyuk Lee
Danqi Chen
RALM
61
162
0
17 Sep 2021
$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues
  via Question Generation and Question Answering
Q2Q^{2}Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Or Honovich
Leshem Choshen
Roee Aharoni
Ella Neeman
Idan Szpektor
Omri Abend
HILM
57
139
0
16 Apr 2021
Evaluating the Factual Consistency of Abstractive Text Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
83
739
0
28 Oct 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
545
2,639
0
03 Sep 2019
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
182
8,067
0
16 Jun 2016
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