ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.08164
  4. Cited By
Editing Factual Knowledge in Language Models
v1v2 (latest)

Editing Factual Knowledge in Language Models

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
16 April 2021
Nicola De Cao
Wilker Aziz
Ivan Titov
    KELM
ArXiv (abs)PDFHTMLGithub (138★)

Papers citing "Editing Factual Knowledge in Language Models"

50 / 435 papers shown
Debiasing Algorithm through Model Adaptation
Debiasing Algorithm through Model AdaptationInternational Conference on Learning Representations (ICLR), 2023
Tomasz Limisiewicz
David Marecek
Tomáš Musil
444
21
0
29 Oct 2023
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained
  Language Models
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Paul Youssef
Osman Alperen Koracs
Meijie Li
Jorg Schlotterer
Christin Seifert
KELM
300
26
0
25 Oct 2023
Knowledge Editing for Large Language Models: A Survey
Knowledge Editing for Large Language Models: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Song Wang
Yaochen Zhu
Haochen Liu
Zaiyi Zheng
Chen Chen
Wenlin Yao
KELM
454
201
0
24 Oct 2023
Evaluating the Knowledge Base Completion Potential of GPT
Evaluating the Knowledge Base Completion Potential of GPTConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Blerta Veseli
Simon Razniewski
Jan-Christoph Kalo
Gerhard Weikum
KELMELM
206
12
0
23 Oct 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency
  in Both Image Classification and Generation
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and GenerationInternational Conference on Learning Representations (ICLR), 2023
Chongyu Fan
Jiancheng Liu
Yihua Zhang
Eric Wong
Dennis Wei
Sijia Liu
MU
529
258
0
19 Oct 2023
Emptying the Ocean with a Spoon: Should We Edit Models?
Emptying the Ocean with a Spoon: Should We Edit Models?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yuval Pinter
Michael Elhadad
KELM
221
29
0
18 Oct 2023
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from
  a Parametric Perspective
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric PerspectiveInternational Conference on Learning Representations (ICLR), 2023
Ming Zhong
Chenxin An
Weizhu Chen
Jiawei Han
Pengcheng He
356
16
0
17 Oct 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!International Joint Conference on Natural Language Processing (IJCNLP), 2023
Sagi Shaier
Lawrence E Hunter
Katharina von der Wense
226
5
0
16 Oct 2023
Untying the Reversal Curse via Bidirectional Language Model Editing
Untying the Reversal Curse via Bidirectional Language Model Editing
Jun-Yu Ma
Jia-Chen Gu
Zhen-Hua Ling
Quan Liu
Cong Liu
KELM
290
41
0
16 Oct 2023
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Jirui Qi
Raquel Fernández
Arianna Bisazza
KELMHILM
677
106
0
16 Oct 2023
Can We Edit Multimodal Large Language Models?
Can We Edit Multimodal Large Language Models?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Siyuan Cheng
Bo Tian
Qingbin Liu
Xi Chen
Yongheng Wang
Huajun Chen
Ningyu Zhang
MLLM
595
40
0
12 Oct 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and
  Domain-Specificity
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Cunxiang Wang
Xiaoze Liu
Yuanhao Yue
Xiangru Tang
Tianhang Zhang
...
Linyi Yang
Yongfeng Zhang
Xing Xie
Zheng Zhang
Yue Zhang
HILMKELM
447
254
0
11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge?
  A Review of Recent Advances
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
230
39
0
11 Oct 2023
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Establishing Trustworthiness: Rethinking Tasks and Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Robert Litschko
Max Müller-Eberstein
Rob van der Goot
Leon Weber
Barbara Plank
LRM
186
3
0
09 Oct 2023
Factuality Challenges in the Era of Large Language Models
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein
Timothy Baldwin
Meeyoung Cha
Tanmoy Chakraborty
Giovanni Luca Ciampaglia
...
Rubén Míguez
Preslav Nakov
Dietram A. Scheufele
Shivam Sharma
Giovanni Zagni
HILM
397
54
0
08 Oct 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Parameter Efficient Multi-task Model Fusion with Partial LinearizationInternational Conference on Learning Representations (ICLR), 2023
Anke Tang
Li Shen
Yong Luo
Yibing Zhan
Han Hu
Bo Du
Yixin Chen
Dacheng Tao
MoMe
346
54
0
07 Oct 2023
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
Discovering Knowledge-Critical Subnetworks in Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Deniz Bayazit
Negar Foroutan
Zeming Chen
Gail Weiss
Antoine Bosselut
KELM
233
19
0
04 Oct 2023
Can Language Models be Instructed to Protect Personal Information?
Can Language Models be Instructed to Protect Personal Information?
Yang Chen
Ethan Mendes
Sauvik Das
Wei Xu
Alan Ritter
PILM
192
46
0
03 Oct 2023
On the Safety of Open-Sourced Large Language Models: Does Alignment
  Really Prevent Them From Being Misused?
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
Hangfan Zhang
Zhimeng Guo
Huaisheng Zhu
Bochuan Cao
Lu Lin
Jinyuan Jia
Jinghui Chen
Di Wu
215
29
0
02 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending
  Against Extraction Attacks
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction AttacksInternational Conference on Learning Representations (ICLR), 2023
Vaidehi Patil
Peter Hase
Joey Tianyi Zhou
KELMAAML
301
146
0
29 Sep 2023
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language
  Models
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models
Yiming Ju
Zheng Zhang
KELM
163
9
0
28 Sep 2023
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
448
41
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"International Conference on Learning Representations (ICLR), 2023
Lukas Berglund
Meg Tong
Max Kaufmann
Mikita Balesni
Asa Cooper Stickland
Tomasz Korbak
Owain Evans
LRM
505
385
0
21 Sep 2023
Cross-Lingual Knowledge Editing in Large Language Models
Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiaan Wang
Yunlong Liang
Zengkui Sun
Yu Cao
Jiarong Xu
Fandong Meng
KELM
212
17
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 ModelsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Daniel Grzenda
Nathaniel Hudson
André Bauer
Kyle Chard
Ian Foster
KELMLRM
198
23
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 ModelsComputational Linguistics (CL), 2023
Yue Zhang
Yafu Li
Leyang Cui
Deng Cai
Lemao Liu
...
Longyue Wang
Anh Tuan Luu
Freda Shi
Shuming Shi
Shuming Shi
LRMRALMHILM
710
803
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
LLMAGLRM
212
97
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
Bo Zhao
Ji-Rong Wen
182
3
0
30 Aug 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
177
1
0
26 Aug 2023
DocTER: Evaluating Document-based Knowledge Editing
DocTER: Evaluating Document-based Knowledge EditingInformation Processing & Management (IPM), 2023
Suhang Wu
Minlong Peng
Minlong Peng
Y. Lin
Wenbo Li
Mingming Sun
Jinsong Su
KELM
286
39
0
19 Aug 2023
PMET: Precise Model Editing in a Transformer
PMET: Precise Model Editing in a TransformerAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaopeng Li
Shasha Li
Shezheng Song
Jing Yang
Jun Ma
Jie Yu
KELM
511
177
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 OperationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinshuo Hu
Dongfang Li
Baotian Hu
Zihao Zheng
Zhenyu Liu
Hao Fei
KELMMU
205
39
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
245
79
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
285
115
0
11 Aug 2023
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs DatasetRecent Advances in Natural Language Processing (RANLP), 2023
Hsuvas Borkakoty
Luis Espinosa-Anke
277
1
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
KELMLRM
387
267
0
06 Aug 2023
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Evaluating the Ripple Effects of Knowledge Editing in Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023
Roi Cohen
Eden Biran
Ori Yoran
Amir Globerson
Mor Geva
KELM
361
226
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 ModelsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Xingbo Wang
Renfei Huang
Zhihua Jin
Tianqing Fang
Huamin Qu
VLMReLMLRM
348
3
0
23 Jul 2023
MGit: A Model Versioning and Management System
MGit: A Model Versioning and Management SystemInternational Conference on Machine Learning (ICML), 2023
Wei Hao
Daniel Mendoza
Rafael Ferreira da Silva
Deepak Narayanan
Amar Phanishayee
VLM
121
1
0
14 Jul 2023
Propagating Knowledge Updates to LMs Through Distillation
Propagating Knowledge Updates to LMs Through DistillationNeural Information Processing Systems (NeurIPS), 2023
Shankar Padmanabhan
Yasumasa Onoe
Michael J.Q. Zhang
Greg Durrett
Eunsol Choi
KELM
268
21
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 MemoriesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shizhe Diao
Tianyang Xu
Ruijia Xu
Jiawei Wang
Tong Zhang
MoEAI4CE
180
49
0
08 Jun 2023
Soft Merging of Experts with Adaptive Routing
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth
Haokun Liu
Colin Raffel
MoMeMoE
286
79
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 EncoderNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Dana Arad
Hadas Orgad
Yonatan Belinkov
KELM
346
28
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 SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Bo Pan
ALM
401
211
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 DiscrepancyConference on Computational Natural Language Learning (CoNLL), 2023
Pengfei Yu
Heng Ji
KELM
203
12
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 BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
J. Hoelscher-Obermaier
Julia Persson
Esben Kran
Ioannis Konstas
Fazl Barez
KELM
240
70
0
27 May 2023
Theoretical and Practical Perspectives on what Influence Functions Do
Theoretical and Practical Perspectives on what Influence Functions DoNeural Information Processing Systems (NeurIPS), 2023
Andrea Schioppa
Katja Filippova
Ivan Titov
Polina Zablotskaia
TDI
170
32
0
26 May 2023
Backpack Language Models
Backpack Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
John Hewitt
John Thickstun
Christopher D. Manning
Abigail Z. Jacobs
KELM
219
20
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
Helen Zhou
191
8
0
24 May 2023
Referral Augmentation for Zero-Shot Information Retrieval
Referral Augmentation for Zero-Shot Information RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Michael Tang
Shunyu Yao
John Yang
Karthik Narasimhan
220
3
0
24 May 2023
Previous
123456789
Next