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Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

29 May 2023
Z. Wang
Alexander Ku
Jason Baldridge
Thomas L. Griffiths
Been Kim
    UQCV
ArXivPDFHTML

Papers citing "Gaussian Process Probes (GPP) for Uncertainty-Aware Probing"

11 / 11 papers shown
Title
Likelihood approximations via Gaussian approximate inference
Likelihood approximations via Gaussian approximate inference
Thang D. Bui
22
0
0
28 Oct 2024
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang
Y. Li
Zijian Kan
Keyuan Cheng
Lijie Hu
Di Wang
KELM
21
4
0
08 Oct 2024
Probing the Category of Verbal Aspect in Transformer Language Models
Probing the Category of Verbal Aspect in Transformer Language Models
Anisia Katinskaia
R. Yangarber
40
1
0
04 Jun 2024
InversionView: A General-Purpose Method for Reading Information from
  Neural Activations
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang
Madhur Panwar
Navin Goyal
Michael Hahn
21
3
0
27 May 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations
  of Language Models
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun
Avi Caciularu
Adam Pearce
Lucas Dixon
Mor Geva
14
86
0
11 Jan 2024
Challenges with unsupervised LLM knowledge discovery
Challenges with unsupervised LLM knowledge discovery
Sebastian Farquhar
Vikrant Varma
Zachary Kenton
Johannes Gasteiger
Vladimir Mikulik
Rohin Shah
17
23
0
15 Dec 2023
Bayes in the age of intelligent machines
Bayes in the age of intelligent machines
Thomas L. Griffiths
Jian-Qiao Zhu
Erin Grant
R. Thomas McCoy
AI4CE
17
17
0
16 Nov 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
Felix Jimenez
Matthias Katzfuss
BDL
UQCV
43
1
0
26 May 2023
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
291
0
24 Feb 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
357
0
06 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1