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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
Meta-Learning Online Adaptation of Language Models
Meta-Learning Online Adaptation of Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nathan J. Hu
E. Mitchell
Christopher D. Manning
Chelsea Finn
KELM
280
43
0
24 May 2023
Editing Common Sense in Transformers
Editing Common Sense in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anshita Gupta
Debanjan Mondal
Akshay Krishna Sheshadri
Wenlong Zhao
Xiang Lorraine Li
Sarah Wiegreffe
Niket Tandon
KELM
214
32
0
24 May 2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
Mitigating Temporal Misalignment by Discarding Outdated FactsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Michael J.Q. Zhang
Eunsol Choi
KELMHILM
270
24
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 QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zexuan Zhong
Zhengxuan Wu
Christopher D. Manning
Christopher Potts
Danqi Chen
KELM
378
273
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
170
1
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 LLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xiang Zhang
Senyu Li
B. Hauer
Ning Shi
Grzegorz Kondrak
LRM
328
137
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 WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sina J. Semnani
Violet Z. Yao
He Zhang
M. Lam
KELMAI4MH
331
102
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 ConflictsInternational Conference on Learning Representations (ICLR), 2023
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
RALM
709
248
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 DataConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Orion Weller
Marc Marone
Nathaniel Weir
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
HILM
303
58
0
22 May 2023
Editing Large Language Models: Problems, Methods, and Opportunities
Editing Large Language Models: Problems, Methods, and OpportunitiesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yunzhi Yao
Peng Wang
Bo Tian
Shuyang Cheng
Zhoubo Li
Shumin Deng
Huajun Chen
Ningyu Zhang
KELM
324
394
0
22 May 2023
Can We Edit Factual Knowledge by In-Context Learning?
Can We Edit Factual Knowledge by In-Context Learning?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ce Zheng
Lei Li
Qingxiu Dong
Yuxuan Fan
Zhiyong Wu
Jingjing Xu
Baobao Chang
KELM
236
283
0
22 May 2023
Statistical Knowledge Assessment for Large Language Models
Statistical Knowledge Assessment for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Qingxiu Dong
Jingjing Xu
Lingpeng Kong
Zhifang Sui
Lei Li
HILM
196
11
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 ModelsInternational Conference on Learning Representations (ICLR), 2023
Shangbin Feng
Weijia Shi
Yuyang Bai
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
KELM
365
49
0
17 May 2023
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Cheng-Han Chiang
Hung-yi Lee
ALMLM&MA
585
848
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 KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yasumasa Onoe
Michael J.Q. Zhang
Shankar Padmanabhan
Greg Durrett
Eunsol Choi
KELM
413
84
0
02 May 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language
  Models
Dissecting Recall of Factual Associations in Auto-Regressive Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mor Geva
Jasmijn Bastings
Katja Filippova
Amir Globerson
KELM
717
418
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 Dalca
230
0
0
11 Apr 2023
Unsupervised Improvement of Factual Knowledge in Language Models
Unsupervised Improvement of Factual Knowledge in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Nafis Sadeq
Byungkyu Kang
Prarit Lamba
Julian McAuley
KELM
270
8
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
297
122
0
03 Apr 2023
Querying Large Language Models with SQL
Querying Large Language Models with SQLInternational Conference on Extending Database Technology (EDBT), 2023
Mohammed Saeed
Nicola De Cao
Paolo Papotti
242
42
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
280
1
0
26 Mar 2023
Context-faithful Prompting for Large Language Models
Context-faithful Prompting for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wenxuan Zhou
Sheng Zhang
Hoifung Poon
Muhao Chen
KELM
240
80
0
20 Mar 2023
Evaluating Language Models for Knowledge Base Completion
Evaluating Language Models for Knowledge Base CompletionExtended Semantic Web Conference (ESWC), 2023
Blerta Veseli
Sneha Singhania
Simon Razniewski
Gerhard Weikum
ALM
211
27
0
20 Mar 2023
Partial Network Cloning
Partial Network CloningComputer Vision and Pattern Recognition (CVPR), 2023
Jingwen Ye
Songhua Liu
Xinchao Wang
CLL
215
16
0
19 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Editing Implicit Assumptions in Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Hadas Orgad
Bahjat Kawar
Yonatan Belinkov
DiffM
354
113
0
14 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey
The Life Cycle of Knowledge in Big Language Models: A SurveyMachine Intelligence Research (MIR), 2023
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
KELM
266
30
0
14 Mar 2023
Erasing Concepts from Diffusion Models
Erasing Concepts from Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Rohit Gandikota
Joanna Materzyñska
Jaden Fiotto-Kaufman
David Bau
DiffM
493
431
0
13 Mar 2023
Edit at your own risk: evaluating the robustness of edited models to
  distribution shifts
Edit at your own risk: evaluating the robustness of edited models to distribution shifts
Davis Brown
Charles Godfrey
Cody Nizinski
Jonathan Tu
Henry Kvinge
KELM
241
8
0
28 Feb 2023
Permutation Equivariant Neural Functionals
Permutation Equivariant Neural FunctionalsNeural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Kaylee Burns
Adriano Cardace
Yiding Jiang
Samuel Sokota
J. Zico Kolter
Chelsea Finn
294
65
0
27 Feb 2023
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and
  Toxicity
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity
Terry Yue Zhuo
Yujin Huang
Chunyang Chen
Zhenchang Xing
SILM
494
130
0
30 Jan 2023
Backward Compatibility During Data Updates by Weight Interpolation
Backward Compatibility During Data Updates by Weight InterpolationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Raphael Schumann
Elman Mansimov
Yi-An Lai
Nikolaos Pappas
Xibin Gao
Yi Zhang
146
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Editing Language Model-based Knowledge Graph Embeddings
Editing Language Model-based Knowledge Graph EmbeddingsAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuyang Cheng
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406
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Transformer-Patcher: One Mistake worth One Neuron
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232
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24 Jan 2023
Does Localization Inform Editing? Surprising Differences in
  Causality-Based Localization vs. Knowledge Editing in Language Models
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Peter Hase
Joey Tianyi Zhou
Been Kim
Asma Ghandeharioun
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330
227
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10 Jan 2023
A Survey on In-context Learning
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Lei Li
Damai Dai
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484
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31 Dec 2022
A Survey on Knowledge-Enhanced Pre-trained Language Models
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Mostafa Dehghani
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Donald Metzler
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Reasoning with Language Model Prompting: A Survey
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707
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Editing Models with Task Arithmetic
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Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of
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