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Uncertainty-Aware Machine Translation Evaluation

Uncertainty-Aware Machine Translation Evaluation

13 September 2021
T. Glushkova
Chrysoula Zerva
Ricardo Rei
André F.T. Martins
    UQLM
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Papers citing "Uncertainty-Aware Machine Translation Evaluation"

30 / 30 papers shown
Title
Random-Set Large Language Models
Random-Set Large Language Models
Muhammad Mubashar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
66
0
0
25 Apr 2025
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection
MingShan Liu
Shi Bo
Jialing Fang
LRM
25
0
0
13 Apr 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
Gonçalo Gomes
Chrysoula Zerva
Bruno Martins
31
0
0
01 Apr 2025
A statistically consistent measure of Semantic Variability using Language Models
A statistically consistent measure of Semantic Variability using Language Models
Yi Liu
71
0
0
01 Feb 2025
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Integrative Decoding: Improve Factuality via Implicit Self-consistency
Yi Cheng
Xiao Liang
Yeyun Gong
Wen Xiao
Song Wang
...
Wenjie Li
Jian Jiao
Qi Chen
Peng Cheng
Wayne Xiong
HILM
56
1
0
02 Oct 2024
Understanding Knowledge Drift in LLMs through Misinformation
Understanding Knowledge Drift in LLMs through Misinformation
Alina Fastowski
Gjergji Kasneci
KELM
35
2
0
11 Sep 2024
Conformal Prediction for Natural Language Processing: A Survey
Conformal Prediction for Natural Language Processing: A Survey
Margarida M. Campos
António Farinhas
Chrysoula Zerva
Mário A. T. Figueiredo
André F. T. Martins
AI4CE
40
14
0
03 May 2024
Calibrating Large Language Models Using Their Generations Only
Calibrating Large Language Models Using Their Generations Only
Dennis Ulmer
Martin Gubri
Hwaran Lee
Sangdoo Yun
Seong Joon Oh
UQLM
422
18
1
09 Mar 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label
  Variation?
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
43
10
0
25 Feb 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
28
9
0
22 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Dennis Ulmer
Chrysoula Zerva
André F. T. Martins
29
11
0
01 Feb 2024
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
29
40
0
28 Jul 2023
Shifting Attention to Relevance: Towards the Predictive Uncertainty
  Quantification of Free-Form Large Language Models
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
Jinhao Duan
Hao-Ran Cheng
Shiqi Wang
Alex Zavalny
Chenan Wang
Renjing Xu
B. Kailkhura
Kaidi Xu
30
32
0
03 Jul 2023
Conformalizing Machine Translation Evaluation
Conformalizing Machine Translation Evaluation
Chrysoula Zerva
André F.T. Martins
19
3
0
09 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and
  Applications
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu
Zhen Zhang
Shiwan Zhao
Minlie Huang
Bingzhe Wu
BDL
29
34
0
05 Jun 2023
Evaluating Machine Translation Quality with Conformal Predictive
  Distributions
Evaluating Machine Translation Quality with Conformal Predictive Distributions
Patrizio Giovannotti
UQLM
19
7
0
02 Jun 2023
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for
  Word Sense Disambiguation
Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation
Zhuo Liu
Ying Liu
UD
18
4
0
22 May 2023
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive
  Critiquing
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou
Zhihong Shao
Yeyun Gong
Yelong Shen
Yujiu Yang
Nan Duan
Weizhu Chen
KELM
LRM
36
357
0
19 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 Variability
Mario Giulianelli
Joris Baan
Wilker Aziz
Raquel Fernández
Barbara Plank
UQLM
35
30
0
19 May 2023
Simple Token-Level Confidence Improves Caption Correctness
Simple Token-Level Confidence Improves Caption Correctness
Suzanne Petryk
Spencer Whitehead
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
Marcus Rohrbach
28
7
0
11 May 2023
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural
  Language Generation
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes
Aman Madaan
Emmy Liu
António Farinhas
Pedro Henrique Martins
...
José G. C. de Souza
Shuyan Zhou
Tongshuang Wu
Graham Neubig
André F. T. Martins
ALM
117
56
0
01 May 2023
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation
  in Natural Language Generation
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Lorenz Kuhn
Y. Gal
Sebastian Farquhar
UQLM
37
252
0
19 Feb 2023
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics
  Without the Reference
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Vilém Zouhar
S. Dhuliawala
Wangchunshu Zhou
Nico Daheim
Tom Kocmi
Yuchen Eleanor Jiang
Mrinmaya Sachan
16
9
0
21 Jan 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
187
22
0
20 Oct 2022
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation
  Shared Task
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task
Keqin Bao
Yu Wan
Dayiheng Liu
Baosong Yang
Wenqiang Lei
Xiangnan He
Derek F.Wong
Jun Xie
12
5
0
18 Oct 2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
Yu Wan
Keqin Bao
Dayiheng Liu
Baosong Yang
Derek F. Wong
Lidia S. Chao
Wenqiang Lei
Jun Xie
22
9
0
18 Oct 2022
Disentangling Uncertainty in Machine Translation Evaluation
Disentangling Uncertainty in Machine Translation Evaluation
Chrysoula Zerva
T. Glushkova
Ricardo Rei
André F.T. Martins
UD
UQCV
38
9
0
13 Apr 2022
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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
285
9,136
0
06 Jun 2015
1