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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs

29 May 2025
Xuan Gong
Hanbo Huang
Shiyu Liang
ArXivPDFHTML

Papers citing "From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs"

27 / 27 papers shown
Title
TSDS: Data Selection for Task-Specific Model Finetuning
TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu
Amin Karbasi
Theodoros Rekatsinas
54
5
0
15 Oct 2024
Understanding Finetuning for Factual Knowledge Extraction
Understanding Finetuning for Factual Knowledge Extraction
Gaurav R. Ghosal
Tatsunori Hashimoto
Aditi Raghunathan
56
15
0
20 Jun 2024
Knowledge Graph-Enhanced Large Language Models via Path Selection
Knowledge Graph-Enhanced Large Language Models via Path Selection
Haochen Liu
Song Wang
Yaochen Zhu
Yushun Dong
Jundong Li
KELM
55
20
0
19 Jun 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Zorik Gekhman
G. Yona
Roee Aharoni
Matan Eyal
Amir Feder
Roi Reichart
Jonathan Herzig
73
122
0
09 May 2024
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Katie Kang
Eric Wallace
Claire Tomlin
Aviral Kumar
Sergey Levine
HILM
LRM
59
55
0
08 Mar 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia
Sadhika Malladi
Suchin Gururangan
Sanjeev Arora
Danqi Chen
109
210
0
06 Feb 2024
Supervised Knowledge Makes Large Language Models Better In-context
  Learners
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
...
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
62
16
0
26 Dec 2023
Personas as a Way to Model Truthfulness in Language Models
Personas as a Way to Model Truthfulness in Language Models
Nitish Joshi
Javier Rando
Abulhair Saparov
Najoung Kim
He He
HILM
40
30
0
27 Oct 2023
Unleashing the potential of prompt engineering in Large Language Models:
  a comprehensive review
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Banghao Chen
Zhaofeng Zhang
Nicolas Langrené
Shengxin Zhu
LLMAG
59
89
0
23 Oct 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Jiadong Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
65
6
0
26 Sep 2023
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Zeyuan Allen-Zhu
Yuanzhi Li
KELM
71
149
0
25 Sep 2023
Wikibio: a Semantic Resource for the Intersectional Analysis of
  Biographical Events
Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
M. Stranisci
Rossana Damiano
Enrico Mensa
V. Patti
Daniele P. Radicioni
Tommaso Caselli
52
9
0
15 Jun 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long
  Form Text Generation
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min
Kalpesh Krishna
Xinxi Lyu
M. Lewis
Wen-tau Yih
Pang Wei Koh
Mohit Iyyer
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
ALM
108
649
0
23 May 2023
Can We Edit Factual Knowledge by In-Context Learning?
Can We Edit Factual Knowledge by In-Context Learning?
Ce Zheng
Lei Li
Qingxiu Dong
Yuxuan Fan
Zhiyong Wu
Jingjing Xu
Baobao Chang
KELM
50
199
0
22 May 2023
Understanding Finetuning for Factual Knowledge Extraction from Language
  Models
Understanding Finetuning for Factual Knowledge Extraction from Language Models
Mehran Kazemi
Sid Mittal
Deepak Ramachandran
KELM
51
11
0
26 Jan 2023
When Not to Trust Language Models: Investigating Effectiveness of
  Parametric and Non-Parametric Memories
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Troy Mallen
Akari Asai
Victor Zhong
Rajarshi Das
Daniel Khashabi
Hannaneh Hajishirzi
RALM
HILM
KELM
94
567
0
20 Dec 2022
Transformers learn in-context by gradient descent
Transformers learn in-context by gradient descent
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
68
470
0
15 Dec 2022
What learning algorithm is in-context learning? Investigations with
  linear models
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek
Dale Schuurmans
Jacob Andreas
Tengyu Ma
Denny Zhou
54
468
0
28 Nov 2022
Large Language Models Struggle to Learn Long-Tail Knowledge
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal
H. Deng
Adam Roberts
Eric Wallace
Colin Raffel
RALM
KELM
82
409
0
15 Nov 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
154
1,308
0
10 Feb 2022
Simple Entity-Centric Questions Challenge Dense Retrievers
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino
Zexuan Zhong
Jinhyuk Lee
Danqi Chen
RALM
45
162
0
17 Sep 2021
TruthfulQA: Measuring How Models Mimic Human Falsehoods
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie C. Lin
Jacob Hilton
Owain Evans
HILM
87
1,825
0
08 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
64
3,678
0
03 Sep 2021
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
D. Song
Jacob Steinhardt
ELM
RALM
135
4,222
0
07 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
474
41,106
0
28 May 2020
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
528
2,639
0
03 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
633
11,979
0
27 Aug 2019
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