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Editing Factual Knowledge in Language Models

Editing Factual Knowledge in Language Models

16 April 2021
Nicola De Cao
Wilker Aziz
Ivan Titov
    KELM
ArXivPDFHTML

Papers citing "Editing Factual Knowledge in Language Models"

50 / 367 papers shown
Title
Identifying and Mitigating Privacy Risks Stemming from Language Models:
  A Survey
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Victoria Smith
Ali Shahin Shamsabadi
Carolyn Ashurst
Adrian Weller
PILM
32
24
0
27 Sep 2023
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Lukas Berglund
Meg Tong
Max Kaufmann
Mikita Balesni
Asa Cooper Stickland
Tomasz Korbak
Owain Evans
LRM
31
237
0
21 Sep 2023
Cross-Lingual Knowledge Editing in Large Language Models
Cross-Lingual Knowledge Editing in Large Language Models
Jiaan Wang
Yunlong Liang
Zengkui Sun
Yu Cao
Jiarong Xu
Fandong Meng
KELM
25
11
0
16 Sep 2023
Memory Injections: Correcting Multi-Hop Reasoning Failures during
  Inference in Transformer-Based Language Models
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Daniel Grzenda
Nathaniel Hudson
André Bauer
Kyle Chard
Ian T. Foster
KELM
LRM
17
16
0
11 Sep 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large
  Language Models
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Yue Zhang
Yafu Li
Leyang Cui
Deng Cai
Lemao Liu
...
Longyue Wang
A. Luu
Wei Bi
Freda Shi
Shuming Shi
RALM
LRM
HILM
41
519
0
03 Sep 2023
Taken out of context: On measuring situational awareness in LLMs
Taken out of context: On measuring situational awareness in LLMs
Lukas Berglund
Asa Cooper Stickland
Mikita Balesni
Max Kaufmann
Meg Tong
Tomasz Korbak
Daniel Kokotajlo
Owain Evans
LLMAG
LRM
8
61
0
01 Sep 2023
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge
  Selection
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Hongjin Qian
Zhicheng Dou
Jiejun Tan
Haonan Chen
Haoqi Gu
Ruofei Lai
Xinyu Zhang
Zhao Cao
Ji-Rong Wen
17
2
0
30 Aug 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
13
0
0
26 Aug 2023
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs
Suhang Wu
Minlong Peng
Yue Chen
Jinsong Su
Mingming Sun
KELM
37
35
0
19 Aug 2023
PMET: Precise Model Editing in a Transformer
PMET: Precise Model Editing in a Transformer
Xiaopeng Li
Shasha Li
Shezheng Song
Jing Yang
Jun Ma
Jie Yu
KELM
26
115
0
17 Aug 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via
  Parameter-Efficient Module Operation
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu
Dongfang Li
Baotian Hu
Zihao Zheng
Zhenyu Liu
M. Zhang
KELM
MU
21
26
0
16 Aug 2023
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language
  Models
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Peng Wang
Ningyu Zhang
Bo Tian
Zekun Xi
Yunzhi Yao
...
Shuyang Cheng
Kangwei Liu
Yuansheng Ni
Guozhou Zheng
Huajun Chen
KELM
27
41
0
14 Aug 2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan
Simon Razniewski
Jan-Christoph Kalo
Sneha Singhania
Jiaoyan Chen
...
Gerard de Melo
A. Bonifati
Edlira Vakaj
M. Dragoni
D. Graux
KELM
28
72
0
11 Aug 2023
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
Hsuvas Borkakoty
Luis Espinosa-Anke
10
0
0
07 Aug 2023
Automatically Correcting Large Language Models: Surveying the landscape
  of diverse self-correction strategies
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Liangming Pan
Michael Stephen Saxon
Wenda Xu
Deepak Nathani
Xinyi Wang
William Yang Wang
KELM
LRM
36
201
0
06 Aug 2023
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Roi Cohen
Eden Biran
Ori Yoran
Amir Globerson
Mor Geva
KELM
33
155
0
24 Jul 2023
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning
  Capabilities of Natural Language Models
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Xingbo Wang
Renfei Huang
Zhihua Jin
Tianqing Fang
Huamin Qu
VLM
ReLM
LRM
30
1
0
23 Jul 2023
MGit: A Model Versioning and Management System
MGit: A Model Versioning and Management System
Wei Hao
Daniel Mendoza
Rafael Ferreira da Silva
Deepak Narayanan
Amar Phanishayee
VLM
19
1
0
14 Jul 2023
Propagating Knowledge Updates to LMs Through Distillation
Propagating Knowledge Updates to LMs Through Distillation
Shankar Padmanabhan
Yasumasa Onoe
Michael J.Q. Zhang
Greg Durrett
Eunsol Choi
KELM
10
18
0
15 Jun 2023
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to
  Pre-trained Language Models Memories
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
Shizhe Diao
Tianyang Xu
Ruijia Xu
Jiawei Wang
Tong Zhang
MoE
AI4CE
11
36
0
08 Jun 2023
Soft Merging of Experts with Adaptive Routing
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth
Haokun Liu
Colin Raffel
MoMe
MoE
24
45
0
06 Jun 2023
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
Dana Arad
Hadas Orgad
Yonatan Belinkov
KELM
36
18
0
01 Jun 2023
Domain Specialization as the Key to Make Large Language Models
  Disruptive: A Comprehensive Survey
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Liang Zhao
ALM
21
126
0
30 May 2023
Information Association for Language Model Updating by Mitigating
  LM-Logical Discrepancy
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy
Pengfei Yu
Heng Ji
KELM
31
9
0
29 May 2023
Detecting Edit Failures In Large Language Models: An Improved
  Specificity Benchmark
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
J. Hoelscher-Obermaier
Julia Persson
Esben Kran
Ioannis Konstas
Fazl Barez
KELM
11
56
0
27 May 2023
Theoretical and Practical Perspectives on what Influence Functions Do
Theoretical and Practical Perspectives on what Influence Functions Do
Andrea Schioppa
Katja Filippova
Ivan Titov
Polina Zablotskaia
TDI
11
14
0
26 May 2023
Backpack Language Models
Backpack Language Models
John Hewitt
John Thickstun
Christopher D. Manning
Percy Liang
KELM
11
16
0
26 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Xia Hu
13
6
0
24 May 2023
Referral Augmentation for Zero-Shot Information Retrieval
Referral Augmentation for Zero-Shot Information Retrieval
Michael Tang
Shunyu Yao
John Yang
Karthik Narasimhan
28
3
0
24 May 2023
Meta-Learning Online Adaptation of Language Models
Meta-Learning Online Adaptation of Language Models
Nathan J. Hu
E. Mitchell
Christopher D. Manning
Chelsea Finn
KELM
10
34
0
24 May 2023
Editing Common Sense in Transformers
Editing Common Sense in Transformers
Anshita Gupta
Debanjan Mondal
Akshay Krishna Sheshadri
Wenlong Zhao
Xiang Lorraine Li
Sarah Wiegreffe
Niket Tandon
KELM
29
20
0
24 May 2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
Mitigating Temporal Misalignment by Discarding Outdated Facts
Michael J.Q. Zhang
Eunsol Choi
KELM
HILM
13
17
0
24 May 2023
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop
  Questions
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
Zexuan Zhong
Zhengxuan Wu
Christopher D. Manning
Christopher Potts
Danqi Chen
KELM
16
185
0
24 May 2023
Mastering the ABCDs of Complex Questions: Answer-Based Claim
  Decomposition for Fine-grained Self-Evaluation
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation
Nishant Balepur
Jie Huang
Samraj Moorjani
Hari Sundaram
Kevin Chen-Chuan Chang
ReLM
8
0
0
24 May 2023
Don't Trust ChatGPT when Your Question is not in English: A Study of
  Multilingual Abilities and Types of LLMs
Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
Xiang Zhang
Senyu Li
B. Hauer
Ning Shi
Grzegorz Kondrak
LRM
31
80
0
24 May 2023
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by
  Few-Shot Grounding on Wikipedia
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Sina J. Semnani
Violet Z. Yao
He Zhang
M. Lam
KELM
AI4MH
20
72
0
23 May 2023
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large
  Language Models in Knowledge Conflicts
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
RALM
198
152
0
22 May 2023
"According to ...": Prompting Language Models Improves Quoting from
  Pre-Training Data
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
Orion Weller
Marc Marone
Nathaniel Weir
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
HILM
66
44
0
22 May 2023
Editing Large Language Models: Problems, Methods, and Opportunities
Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao
Peng Wang
Bo Tian
Shuyang Cheng
Zhoubo Li
Shumin Deng
Huajun Chen
Ningyu Zhang
KELM
30
278
0
22 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
22
184
0
22 May 2023
Statistical Knowledge Assessment for Large Language Models
Statistical Knowledge Assessment for Large Language Models
Qingxiu Dong
Jingjing Xu
Lingpeng Kong
Zhifang Sui
Lei Li
HILM
33
6
0
17 May 2023
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized
  Language Models
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
Shangbin Feng
Weijia Shi
Yuyang Bai
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
KELM
45
28
0
17 May 2023
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang
Hung-yi Lee
ALM
LM&MA
209
568
0
03 May 2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating
  Injected Knowledge
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Yasumasa Onoe
Michael J.Q. Zhang
Shankar Padmanabhan
Greg Durrett
Eunsol Choi
KELM
201
73
0
02 May 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language
  Models
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Mor Geva
Jasmijn Bastings
Katja Filippova
Amir Globerson
KELM
189
261
0
28 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging
Scale-Space Hypernetworks for Efficient Biomedical Imaging
Jose Javier Gonzalez Ortiz
John Guttag
Adrian V. Dalca
33
0
0
11 Apr 2023
Unsupervised Improvement of Factual Knowledge in Language Models
Unsupervised Improvement of Factual Knowledge in Language Models
Nafis Sadeq
Byungkyu Kang
Prarit Lamba
Julian McAuley
KELM
17
6
0
04 Apr 2023
Inspecting and Editing Knowledge Representations in Language Models
Inspecting and Editing Knowledge Representations in Language Models
Evan Hernandez
Belinda Z. Li
Jacob Andreas
KELM
11
76
0
03 Apr 2023
Querying Large Language Models with SQL
Querying Large Language Models with SQL
Mohammed Saeed
Nicola De Cao
Paolo Papotti
14
28
0
02 Apr 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
60
1
0
26 Mar 2023
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