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Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
v1v2 (latest)

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Neural Information Processing Systems (NeurIPS), 2023
29 May 2023
Zehao Wang
Alexander Ku
Jason Baldridge
Thomas Griffiths
Been Kim
    UQCV
ArXiv (abs)PDFHTMLGithub

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

10 / 10 papers shown
Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?
Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?
Yongjie Wang
Yibo Wang
Xin Zhou
Zhiqi Shen
301
2
0
24 May 2025
Likelihood approximations via Gaussian approximate inference
Likelihood approximations via Gaussian approximate inference
Thang D. Bui
246
1
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
Yongqian Li
Zijian Kan
Keyuan Cheng
Lijie Hu
Di Wang
KELM
499
36
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
358
7
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
398
9
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 ModelsInternational Conference on Machine Learning (ICML), 2024
Asma Ghandeharioun
Avi Caciularu
Adam Pearce
Lucas Dixon
Mor Geva
782
192
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
389
36
0
15 Dec 2023
Bayes in the age of intelligent machines
Bayes in the age of intelligent machines
Thomas Griffiths
Jian-Qiao Zhu
Erin Grant
R. Thomas McCoy
AI4CE
307
28
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 NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Felix Jimenez
Matthias Katzfuss
BDLUQCV
386
2
0
26 May 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDLUQCVAI4CE
863
84
0
26 Feb 2023
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