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2505.23410
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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
29 May 2025
Xuan Gong
Hanbo Huang
Shiyu Liang
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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
Zifan Liu
Amin Karbasi
Theodoros Rekatsinas
54
5
0
15 Oct 2024
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
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?
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
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
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
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
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
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
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
Zeyuan Allen-Zhu
Yuanzhi Li
KELM
71
149
0
25 Sep 2023
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
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?
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
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
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
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
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
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
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
154
1,308
0
10 Feb 2022
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
Stephanie C. Lin
Jacob Hilton
Owain Evans
HILM
87
1,825
0
08 Sep 2021
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
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
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?
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
Nils Reimers
Iryna Gurevych
633
11,979
0
27 Aug 2019
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