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1811.07253
Cited By
Quantifying Uncertainties in Natural Language Processing Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2018
18 November 2018
Yijun Xiao
William Yang Wang
UQCV
BDL
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Papers citing
"Quantifying Uncertainties in Natural Language Processing Tasks"
50 / 85 papers shown
Title
HACK: Hallucinations Along Certainty and Knowledge Axes
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Zorik Gekhman
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Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
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26 Oct 2025
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg
Juan Cardenas-Cartagena
Floris van Beers
Gineke ten Holt
Tsegaye Misikir Tashu
Matias Valdenegro-Toro
60
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0
23 Sep 2025
Are you sure? Measuring models bias in content moderation through uncertainty
Alessandra Urbinati
Mirko Lai
Simona Frenda
M. Stranisci
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21 Sep 2025
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Guoyi Zhang
Guangsheng Xu
Siyang Chen
Han Wang
Xiaohu Zhang
441
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12 Jun 2025
Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems
Y. Cho
Sharath Chandra Guntuku
Lyle Ungar
118
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0
27 May 2025
Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning
Xiaorong Wang
Ting Yang
Zhu Zhang
Kaiyan Zhang
Zihan Zhou
Liner Yang
Zhiyuan Liu
Maosong Sun
215
0
0
26 May 2025
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
Debargha Ganguly
Vikash Singh
Sreehari Sankar
Biyao Zhang
Xuecen Zhang
Srinivasan Iyengar
Xiaotian Han
Amit Sharma
Shivkumar Kalyanaraman
Vipin Chaudhary
259
2
0
26 May 2025
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
583
2
0
25 Apr 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Timothee Mickus
Aman Sinha
Ananda Sreenidhi
191
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0
03 Mar 2025
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Lipeng Ma
Weidong Yang
Yixuan Li
Ben Fei
Mingjie Zhou
Shuhao Li
Sihang Jiang
Bo Xu
Yanghua Xiao
110
6
0
19 Jan 2025
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning
R. Krishnan
Piyush Khanna
Omesh Tickoo
HILM
252
5
0
03 Dec 2024
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
R. Kaur
Colin Samplawski
Adam Cobb
Anirban Roy
Brian Matejek
...
Daniel Elenius
Alexander M. Berenbeim
John A. Pavlik
Nathaniel D. Bastian
Susmit Jha
300
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04 Nov 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
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Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
236
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26 Oct 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang
Yutong Yang
Zhaoxi Zhang
Sanwoo Lee
Yunfang Wu
299
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0
20 Oct 2024
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Haomin Wen
Shurui Cao
Z. Rasheed
Khurram Hassan-Shafique
Leman Akoglu
277
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0
02 Oct 2024
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Xingpeng Sun
Yiran Zhang
Xindi Tang
Amrit Singh Bedi
Aniket Bera
214
12
0
03 Aug 2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
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Timothee Mickus
Marianne Clausel
Mathieu Constant
X. Coubez
193
1
0
17 Jul 2024
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Qingcheng Zeng
Haoyang Ling
Qinkai Yu
Zhenting Wang
Qingfeng Lan
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Felix Juefei Xu
Kaize Ding
Fan Yang
Ruixiang Tang
Yongfeng Zhang
AAML
362
14
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15 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
246
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02 Jul 2024
Uncertainty Quantification in Table Structure Recognition
Kehinde E. Ajayi
Leizhen Zhang
Yi He
Jian Wu
LMTD
114
2
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01 Jul 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin
Jannik Kossen
Yarin Gal
Pekka Marttinen
UQCV
354
86
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30 May 2024
Conformal Prediction for Natural Language Processing: A Survey
Transactions of the Association for Computational Linguistics (TACL), 2024
Margarida M. Campos
António Farinhas
Chrysoula Zerva
Mário A. T. Figueiredo
André F. T. Martins
AI4CE
386
36
0
03 May 2024
Uncertainty-boosted Robust Video Activity Anticipation
Zhaobo Qi
Shuhui Wang
Weigang Zhang
Qingming Huang
260
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From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
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Jan Snajder
301
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31 Mar 2024
Self-Evaluation of Large Language Model based on Glass-box Features
Hui Huang
Yingqi Qu
Jing Liu
Muyun Yang
Tiejun Zhao
88
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07 Mar 2024
Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction
Jun Wang
Guocheng He
Y. Kantaros
264
19
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23 Feb 2024
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting
P. Proskura
Alexey Zaytsev
252
1
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22 Feb 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
Yavuz Faruk Bakman
D. Yaldiz
Baturalp Buyukates
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
195
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19 Feb 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
Chen Ling
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Yanchi Liu
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Katsushi Matsuda
Jie Ji
Guangji Bai
Bo Pan
Haifeng Chen
206
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15 Feb 2024
Consistent Joint Decision-Making with Heterogeneous Learning Models
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Hossein Rajaby Faghihi
Parisa Kordjamshidi
250
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06 Feb 2024
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests
Brielen Madureira
David Schlangen
128
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30 Jan 2024
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Po-Nien Kung
Fan Yin
Di Wu
Kai-Wei Chang
Nanyun Peng
223
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Software Entity Recognition with Noise-Robust Learning
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Nguyen Tai
Yifeng Di
J. Lee
Muhao Chen
Tianyi Zhang
126
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21 Aug 2023
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Shiyao Cui
Xin Cong
Shuaiyi Nie
Xuebin Wang
Tingwen Liu
Jinqiao Shi
122
1
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04 Aug 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
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Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
...
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
LM&Ro
421
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Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
International Conference on Machine Learning (ICML), 2023
Luca Franco
Paolo Mandica
Konstantinos Kallidromitis
Devin Guillory
Yu-Teng Li
Trevor Darrell
Fabio Galasso
225
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19 Jun 2023
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents
IEEE Robotics and Automation Letters (RA-L), 2023
Jeongeun Park
Seungwon Lim
Joonhyung Lee
Sangbeom Park
Minsuk Chang
Youngjae Yu
Sungjoon Choi
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331
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A Bayesian approach to uncertainty in word embedding bias estimation
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R. Urbaniak
85
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Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
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Henry Lam
Haofeng Zhang
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CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
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Xiulong Liu
Sudipta Paul
Moitreya Chatterjee
A. Cherian
175
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CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
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ZHAOYUE SUN
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Lin Gui
Yulan He
192
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Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
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Shiwan Zhao
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Bingzhe Wu
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Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
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Subhro Das
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On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
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Du Phan
Joshua Maynez
Shashi Narayan
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253
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Toward Reliable Human Pose Forecasting with Uncertainty
IEEE Robotics and Automation Letters (RA-L), 2023
Saeed Saadatnejad
Mehrshad Mirmohammadi
Matin Daghyani
Parham Saremi
Yashar Zoroofchi Benisi
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147
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Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
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Dongbin Na
Sungchul Choi
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Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
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Ou Wu
Weiyao Zhu
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