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Locating and Editing Factual Associations in GPT
v1v2v3v4v5 (latest)

Locating and Editing Factual Associations in GPT

Neural Information Processing Systems (NeurIPS), 2022
10 February 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
    KELM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Locating and Editing Factual Associations in GPT"

13 / 1,363 papers shown
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language
  Models
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language ModelsConference on Computational Natural Language Learning (CoNLL), 2022
Aaron Mueller
Yudi Xia
Tal Linzen
MILM
246
13
0
25 Oct 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning
  with Language Models
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Alessandro Stolfo
Zhijing Jin
Kumar Shridhar
Bernhard Schölkopf
Mrinmaya Sachan
ELMOODLRM
391
78
0
21 Oct 2022
Revision Transformers: Instructing Language Models to Change their
  Values
Revision Transformers: Instructing Language Models to Change their ValuesEuropean Conference on Artificial Intelligence (ECAI), 2022
Felix Friedrich
Wolfgang Stammer
P. Schramowski
Kristian Kersting
KELM
268
11
0
19 Oct 2022
Language Generation Models Can Cause Harm: So What Can We Do About It?
  An Actionable Survey
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Sachin Kumar
Vidhisha Balachandran
Lucille Njoo
Antonios Anastasopoulos
Yulia Tsvetkov
ELM
452
106
0
14 Oct 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a TransformerInternational Conference on Learning Representations (ICLR), 2022
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELMVLM
437
809
0
13 Oct 2022
Improving Data-Efficient Fossil Segmentation via Model Editing
Improving Data-Efficient Fossil Segmentation via Model Editing
Indu Panigrahi
Ryan Manzuk
A. Maloof
Ruth C. Fong
198
1
0
08 Oct 2022
Learning by Distilling Context
Learning by Distilling Context
Charles Burton Snell
Dan Klein
Ruiqi Zhong
ReLMLRM
615
62
0
30 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
452
206
0
20 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning PerspectiveInternational Conference on Learning Representations (ICLR), 2022
Richard Ngo
Lawrence Chan
Sören Mindermann
546
250
0
30 Aug 2022
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch
Kshitij Dwivedi
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
253
8
0
20 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAMLAI4CE
782
170
0
27 Jul 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at ScaleInternational Conference on Machine Learning (ICML), 2022
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
372
465
0
13 Jun 2022
Inducing Causal Structure for Interpretable Neural Networks
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas Icard
Noah D. Goodman
Christopher Potts
CMLOOD
384
94
0
01 Dec 2021
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