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AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs

AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs

21 May 2025
Artem Zabolotnyi
Roman Makarov
Mile Mitrovic
P. Proskura
Oleg Travkin
Roman Alferov
Alexey Zaytsev
    UQCV
ArXiv (abs)PDFHTML

Papers citing "AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs"

14 / 14 papers shown
Title
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
81
61
0
24 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
124
114
0
30 Sep 2022
Language Models (Mostly) Know What They Know
Language Models (Mostly) Know What They Know
Saurav Kadavath
Tom Conerly
Amanda Askell
T. Henighan
Dawn Drain
...
Nicholas Joseph
Benjamin Mann
Sam McCandlish
C. Olah
Jared Kaplan
ELM
129
833
0
11 Jul 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and
  Implicit Hate Speech Detection
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Thomas Hartvigsen
Saadia Gabriel
Hamid Palangi
Maarten Sap
Dipankar Ray
Ece Kamar
86
388
0
17 Mar 2022
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren
Stanislav Fort
J. Liu
Abhijit Guha Roy
Shreyas Padhy
Balaji Lakshminarayanan
UQCV
176
226
0
16 Jun 2021
Pre-Training Transformers as Energy-Based Cloze Models
Pre-Training Transformers as Energy-Based Cloze Models
Kevin Clark
Minh-Thang Luong
Quoc V. Le
Christopher D. Manning
64
80
0
15 Dec 2020
Unsupervised Quality Estimation for Neural Machine Translation
Unsupervised Quality Estimation for Neural Machine Translation
M. Fomicheva
Shuo Sun
Lisa Yankovskaya
Frédéric Blain
Francisco Guzmán
Mark Fishel
Nikolaos Aletras
Vishrav Chaudhary
Lucia Specia
UQLM
87
209
0
21 May 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
689
24,557
0
26 Jul 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
194
2,063
0
10 Jul 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
246
1,413
0
31 May 2018
Explicit Inductive Bias for Transfer Learning with Convolutional
  Networks
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li
Yves Grandvalet
Franck Davoine
SSL
89
355
0
05 Feb 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Selective Classification for Deep Neural Networks
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
99
530
0
23 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
847
5,847
0
05 Dec 2016
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