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  3. UQLM

Uncertainty Quantification for Language Models

UQLM
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Includes research that specifically explores methodologies for assessing and communicating the confidence and reliability of predictions made by language models.

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50 / 103 papers shown
Title
Confidence-Modulated Speculative Decoding for Large Language Models
Confidence-Modulated Speculative Decoding for Large Language Models
Jaydip Sen
Subhasis Dasgupta
Hetvi Waghela
UQLM
110
1
0
21 Aug 2025
Uncertainty Quantification for Evaluating Machine Translation Bias
Uncertainty Quantification for Evaluating Machine Translation Bias
Ieva Staliunaite
Julius Cheng
Andreas Vlachos
UQLM
98
0
0
24 Jul 2025
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
Michael Kirchhof
Luca Füger
Adam Goliñski
Eeshan Gunesh Dhekane
Arno Blaas
Seong Joon Oh
Sinead Williamson
UQLMELM
270
3
2
26 May 2025
Ensemble Kalman filter for uncertainty in human language comprehension
Ensemble Kalman filter for uncertainty in human language comprehension
Diksha Bhandari
Alessandro Lopopolo
Milena Rabovsky
Sebastian Reich
BDLUQLM
160
0
0
05 May 2025
Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
Kenneth J. Sible
David Chiang
UQLM
66
0
0
30 Mar 2025
Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches
Panggih Kusuma Ningrum
Philipp Mayr
N. Smirnova
Iana Atanassova
UQLM
165
1
0
14 Mar 2025
Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
Teemu Säilynoja
Marvin Schmitt
Paul-Christian Bürkner
Aki Vehtari
UQLM
131
6
0
05 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
364
18
0
28 Jan 2025
Uncovering Uncertainty in Transformer Inference
Uncovering Uncertainty in Transformer Inference
Greyson Brothers
Willa Mannering
Amber Tien
John Winder
UQLM
115
0
0
08 Dec 2024
Towards Understanding and Quantifying Uncertainty for Text-to-Image
  Generation
Towards Understanding and Quantifying Uncertainty for Text-to-Image GenerationComputer Vision and Pattern Recognition (CVPR), 2024
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
202
2
0
04 Dec 2024
Keep Guessing? When Considering Inference Scaling, Mind the Baselines
Keep Guessing? When Considering Inference Scaling, Mind the BaselinesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
G. Yona
Or Honovich
Omer Levy
Roee Aharoni
UQLMLRM
188
0
0
20 Oct 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian
  Reasoning Scenarios
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning ScenariosConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Timo Pierre Schrader
Lukas Lange
Simon Razniewski
Annemarie Friedrich
UQLM
111
3
0
14 Oct 2024
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling
  for Retrieval-Augmented Generation
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation
Zixuan Li
Jing Xiong
Fanghua Ye
Chuanyang Zheng
Xun Wu
...
Xiaodan Liang
Chengming Li
Zhenan Sun
Lingpeng Kong
Ngai Wong
RALMUQLM
178
3
0
03 Oct 2024
Pre-training and in-context learning IS Bayesian inference a la De
  Finetti
Pre-training and in-context learning IS Bayesian inference a la De Finetti
Naimeng Ye
Hanming Yang
Andrew Siah
Hongseok Namkoong
BDLUQLM
103
5
0
06 Aug 2024
Evaluating language models as risk scores
Evaluating language models as risk scores
André F. Cruz
Moritz Hardt
Celestine Mendler-Dünner
LMTDELMUQLM
35
18
0
19 Jul 2024
On Subjective Uncertainty Quantification and Calibration in Natural
  Language Generation
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ziyu Wang
Chris Holmes
UQLM
230
7
0
07 Jun 2024
Uncertainty-aware sign language video retrieval with probability
  distribution modeling
Uncertainty-aware sign language video retrieval with probability distribution modeling
Xuan Wu
Hongxiang Li
Yuanjiang Luo
Xuxin Cheng
Xianwei Zhuang
Meng Cao
Keren Fu
UQLMSLR
99
7
0
30 May 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Antoine Wehenkel
Juan L. Gamella
Ozan Sener
Jens Behrmann
Guillermo Sapiro
Marco Cuturi
J. Jacobsen
UQLM
259
20
0
14 May 2024
Análise de ambiguidade linguística em modelos de linguagem de grande
  escala (LLMs)
Análise de ambiguidade linguística em modelos de linguagem de grande escala (LLMs)
Lavínia de Carvalho Moraes
Irene Cristina Silvério
Rafael Alexandre Sousa Marques
Bianca de Castro Anaia
Dandara Freitas de Paula
Maria Carolina Schincariol de Faria
Iury Cleveston
Alana de Santana Correia
Raquel Meister Ko. Freitag
UQLM
33
0
0
25 Apr 2024
Language Model Cascades: Token-level uncertainty and beyond
Language Model Cascades: Token-level uncertainty and beyond
Neha Gupta
Harikrishna Narasimhan
Wittawat Jitkrittum
A. S. Rawat
A. Menon
Sanjiv Kumar
UQLM
215
78
0
15 Apr 2024
A Taxonomy of Ambiguity Types for NLP
A Taxonomy of Ambiguity Types for NLP
Margaret Li
Alisa Liu
Zhaofeng Wu
Noah A. Smith
UQLM
85
3
0
21 Mar 2024
Calibrating Large Language Models Using Their Generations Only
Calibrating Large Language Models Using Their Generations OnlyAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Dennis Ulmer
Martin Gubri
Hwaran Lee
Sangdoo Yun
Seong Joon Oh
UQLM
607
49
1
09 Mar 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form
  Medical Question Answering Applications and Beyond
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond
Zhiyuan Wang
Jinhao Duan
Chenxi Yuan
Qingyu Chen
Tianlong Chen
Huaxiu Yao
Yue Zhang
Ren Wang
Kaidi Xu
Xiaoshuang Shi
UQLM
230
18
0
22 Feb 2024
Sequence graphs realizations and ambiguity in language models
Sequence graphs realizations and ambiguity in language models
Sammy Khalife
Yann Ponty
Laurent Bulteau
UQLM
141
0
0
13 Feb 2024
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
Hanning Zhang
Shizhe Diao
Yong Lin
Yi R. Fung
Qing Lian
Xingyao Wang
Yangyi Chen
Heng Ji
Tong Zhang
UQLM
200
67
0
16 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty
  Transmission
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
Jianfeng He
Linlin Yu
Shuo Lei
Chang-Tien Lu
Feng Chen
UQLM
137
12
0
15 Nov 2023
ChatGPT Prompting Cannot Estimate Predictive Uncertainty in
  High-Resource Languages
ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages
Martino Pelucchi
Matias Valdenegro-Toro
UQLMAI4MH
164
3
0
10 Nov 2023
Tree of Clarifications: Answering Ambiguous Questions with
  Retrieval-Augmented Large Language Models
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Gangwoo Kim
Sungdong Kim
Byeongguk Jeon
Joonsuk Park
Jaewoo Kang
UQLM
111
41
0
23 Oct 2023
Reasoning about Ambiguous Definite Descriptions
Reasoning about Ambiguous Definite DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Stefan F. Schouten
Peter Bloem
Ilia Markov
Piek Vossen
LRMUQLM
48
0
0
23 Oct 2023
Representing and Computing Uncertainty in Phonological Reconstruction
Representing and Computing Uncertainty in Phonological Reconstruction
Johann-Mattis List
Nathan W. Hill
Robert Forkel
Frederic Blum
UQLM
28
1
0
19 Oct 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised
  Language Understanding
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jianing Wang
Qiushi Sun
Nuo Chen
Chengyu Wang
Jun Huang
Ming Gao
Xiang Li
UQLM
99
4
0
19 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and
  Prompt Engineering
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt EngineeringInternational Conference on Learning Representations (ICLR), 2023
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
153
73
0
29 Sep 2023
Conformal Autoregressive Generation: Beam Search with Coverage
  Guarantees
Conformal Autoregressive Generation: Beam Search with Coverage GuaranteesAAAI Conference on Artificial Intelligence (AAAI), 2023
Nicolas Deutschmann
Marvin Alberts
María Rodríguez Martínez
UQLM
106
15
0
07 Sep 2023
Economic Policy Uncertainty: A Review on Applications and Measurement
  Methods with Focus on Text Mining Methods
Economic Policy Uncertainty: A Review on Applications and Measurement Methods with Focus on Text Mining MethodsSocial Science Research Network (SSRN), 2023
Fatemeh Kaveh-Yazdy
S. Zarifzadeh
UQLMUD
66
0
0
20 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan
Nico Daheim
Evgenia Ilia
Dennis Ulmer
Haau-Sing Li
Raquel Fernández
Barbara Plank
Rico Sennrich
Chrysoula Zerva
Wilker Aziz
UQLM
247
59
0
28 Jul 2023
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text
Panggih Kusuma Ningrum
Philipp Mayr
Iana Atanassova
UQLM
51
3
0
26 Jul 2023
Evaluating Machine Translation Quality with Conformal Predictive
  Distributions
Evaluating Machine Translation Quality with Conformal Predictive DistributionsInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2023
Patrizio Giovannotti
UQLM
139
9
0
02 Jun 2023
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty,
  and GPT-4
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kellin Pelrine
Anne Imouza
Camille Thibault
Meilina Reksoprodjo
Caleb Gupta
J. Christoph
Jean-François Godbout
Reihaneh Rabbany
UQLMAI4CE
179
51
0
24 May 2023
Selectively Answering Ambiguous Questions
Selectively Answering Ambiguous QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jeremy R. Cole
Michael J.Q. Zhang
D. Gillick
Julian Martin Eisenschlos
Bhuwan Dhingra
Jacob Eisenstein
UQLM
202
44
0
24 May 2023
Discriminative calibration: Check Bayesian computation from simulations
  and flexible classifier
Discriminative calibration: Check Bayesian computation from simulations and flexible classifierNeural Information Processing Systems (NeurIPS), 2023
Yuling Yao
Justin Domke
UQLM
239
2
0
24 May 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Asking Clarification Questions to Handle Ambiguity in Open-Domain QAConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Dongryeol Lee
Segwang Kim
Minwoo Lee
Hwanhee Lee
Joonsuk Park
Sang-Woo Lee
Kyomin Jung
UQLM
165
21
0
23 May 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators
  Against Human Production Variability
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production VariabilityConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mario Giulianelli
Joris Baan
Wilker Aziz
Raquel Fernández
Barbara Plank
UQLM
200
42
0
19 May 2023
Conformal Nucleus Sampling
Conformal Nucleus SamplingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Shauli Ravfogel
Carlos Wert Carvajal
M.F. Eggl
UQLM
157
28
0
04 May 2023
On Uncertainty Calibration and Selective Generation in Probabilistic
  Neural Summarization: A Benchmark Study
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark StudyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Polina Zablotskaia
Du Phan
Joshua Maynez
Shashi Narayan
Jie Jessie Ren
J. Liu
UQLMUQCV
140
24
0
17 Apr 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation
  in Natural Language Generation
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language GenerationInternational Conference on Learning Representations (ICLR), 2023
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
UQLM
347
423
0
19 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence
  Labeling
Uncertainty-aware Self-training for Low-resource Neural Sequence LabelingAAAI Conference on Artificial Intelligence (AAAI), 2023
Jiadong Wang
Chengyu Wang
Jun Huang
Ming Gao
Aoying Zhou
BDLUQLMNoLa
129
4
0
17 Feb 2023
Linguistic ambiguity analysis in ChatGPT
Linguistic ambiguity analysis in ChatGPT
Miguel Ortega-Martín
Óscar García-Sierra
Alfonso Ardoiz
Jorge Álvarez
J. C. Armenteros
Adrián Alonso
UQLMAI4CE
107
28
0
13 Feb 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via
  Compositional Uncertainty Quantification
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty QuantificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zi Lin
J. Liu
Jingbo Shang
UQLM
88
6
0
26 Jan 2023
How Does Beam Search improve Span-Level Confidence Estimation in
  Generative Sequence Labeling?
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
Kazuma Hashimoto
Iftekhar Naim
K. Raman
UQLM
220
2
0
21 Dec 2022
Task Ambiguity in Humans and Language Models
Task Ambiguity in Humans and Language Models
Alex Tamkin
Kunal Handa
Ava Shrestha
Noah D. Goodman
UQLM
159
24
0
20 Dec 2022
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