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Quantifying Uncertainties in Natural Language Processing Tasks

Quantifying Uncertainties in Natural Language Processing Tasks

18 November 2018
Yijun Xiao
William Yang Wang
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Quantifying Uncertainties in Natural Language Processing Tasks"

27 / 27 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
94
0
0
25 Apr 2025
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Haomin Wen
Shurui Cao
Z. Rasheed
Khurram Hassan-Shafique
Leman Akoglu
66
0
0
02 Oct 2024
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of
  Audio-Guided LLM-Based Robot Navigation
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation
Xingpeng Sun
Yiran Zhang
Xindi Tang
Amrit Singh Bedi
Aniket Bera
50
4
0
03 Aug 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
45
0
0
31 Mar 2024
Consistent Joint Decision-Making with Heterogeneous Learning Models
Consistent Joint Decision-Making with Heterogeneous Learning Models
Hossein Rajaby Faghihi
Parisa Kordjamshidi
42
2
0
06 Feb 2024
Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
64
220
0
04 Jul 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Jaeyoung Kim
Dongbin Na
Sungchul Choi
Sungbin Lim
VLM
38
5
0
13 Feb 2023
Understanding Difficulty-based Sample Weighting with a Universal
  Difficulty Measure
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Xiaoling Zhou
Ou Wu
Weiyao Zhu
Ziyang Liang
44
2
0
12 Jan 2023
Weakly Supervised Data Augmentation Through Prompting for Dialogue
  Understanding
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
Maximillian Chen
Alexandros Papangelis
Chenyang Tao
Andrew Rosenbaum
Seokhwan Kim
Yang Liu
Zhou Yu
Dilek Z. Hakkani-Tür
44
33
0
25 Oct 2022
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Characterizing Uncertainty in the Visual Text Analysis Pipeline
P. Haghighatkhah
Mennatallah El-Assady
Jean-Daniel Fekete
Narges Mahyar
C. Paradis
Vasiliki Simaki
Bettina Speckmann
31
2
0
22 Sep 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
Bowen Qin
Lihan Wang
Binyuan Hui
Bowen Li
Xiangpeng Wei
Binhua Li
Fei Huang
Luo Si
Min Yang
Yongbin Li
45
9
0
14 Sep 2022
Exploring the Learning Difficulty of Data Theory and Measure
Exploring the Learning Difficulty of Data Theory and Measure
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
40
5
0
16 May 2022
Efficient, Uncertainty-based Moderation of Neural Networks Text
  Classifiers
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers
J. S. Andersen
W. Maalej
22
9
0
04 Apr 2022
Scalable Uncertainty Quantification for Deep Operator Networks using
  Randomized Priors
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors
Yibo Yang
Georgios Kissas
P. Perdikaris
BDL
UQCV
35
40
0
06 Mar 2022
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality
  Forecasting
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Abdulmajid Murad
F. Kraemer
Kerstin Bach
Gavin Taylor
OOD
BDL
UQCV
20
12
0
05 Dec 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
29
58
0
03 Nov 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty
  Estimation
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Liyan Xu
Xuchao Zhang
Xujiang Zhao
Haifeng Chen
F. Chen
Jinho Choi
28
14
0
01 Sep 2021
Attribution of Predictive Uncertainties in Classification Models
Attribution of Predictive Uncertainties in Classification Models
Iker Perez
Piotr Skalski
Alec E. Barns-Graham
Jason Wong
David Sutton
UQCV
32
6
0
19 Jul 2021
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDL
UQCV
38
33
0
15 Jul 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
UQCV
MedIm
41
12
0
21 Jun 2021
Giving Commands to a Self-Driving Car: How to Deal with Uncertain
  Situations?
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?
Thierry Deruyttere
Victor Milewski
Marie-Francine Moens
30
15
0
08 Jun 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need
  in MOOC Forums
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu
Laila Alrajhi
Anoushka Harit
Zhongtian Sun
Alexandra I. Cristea
Lei Shi
BDL
UQCV
24
8
0
26 Apr 2021
On Hallucination and Predictive Uncertainty in Conditional Language
  Generation
On Hallucination and Predictive Uncertainty in Conditional Language Generation
Yijun Xiao
Wei Wang
HILM
16
182
0
28 Mar 2021
Predictive Monitoring with Logic-Calibrated Uncertainty for
  Cyber-Physical Systems
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems
Meiyi Ma
John A. Stankovic
E. Bartocci
Lu Feng
33
24
0
31 Oct 2020
Uncertainty-aware Attention Graph Neural Network for Defending
  Adversarial Attacks
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
Boyuan Feng
Yuke Wang
Zhendong Wang
Yufei Ding
AAML
19
34
0
22 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
309
13,373
0
25 Aug 2014
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