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2004.04361
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Calibrating Structured Output Predictors for Natural Language Processing
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
9 April 2020
Abhyuday N. Jagannatha
Hong-ye Yu
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Papers citing
"Calibrating Structured Output Predictors for Natural Language Processing"
16 / 16 papers shown
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
Xiaoou Liu
Tiejin Chen
Longchao Da
Chacha Chen
Zhen Lin
Hua Wei
HILM
614
67
0
20 Mar 2025
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference
Ke Shen
Mayank Kejriwal
257
2
0
04 Aug 2024
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou
Jena D. Hwang
Xiang Ren
Nouha Dziri
Dan Jurafsky
Maarten Sap
254
18
0
10 Jul 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
Shangbin Feng
Weijia Shi
Yike Wang
Wenxuan Ding
Orevaoghene Ahia
Shuyue Stella Li
Vidhisha Balachandran
Sunayana Sitaram
Yulia Tsvetkov
668
13
0
22 Jun 2024
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores
Ke Shen
Mayank Kejriwal
268
2
0
05 Oct 2023
Unsupervised Calibration through Prior Adaptation for Text Classification using Large Language Models
Recent Advances in Natural Language Processing (RANLP), 2023
Lautaro Estienne
Luciana Ferrer
Matías Vera
Pablo Piantanida
VLM
263
2
0
13 Jul 2023
Selectively Answering Ambiguous Questions
Conference 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
591
62
0
24 May 2023
Calibrated Interpretation: Confidence Estimation in Semantic Parsing
Transactions of the Association for Computational Linguistics (TACL), 2022
Elias Stengel-Eskin
Benjamin Van Durme
UQLM
507
37
0
14 Nov 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dennis Ulmer
J. Frellsen
Christian Hardmeier
475
32
0
20 Oct 2022
Calibration of Machine Reading Systems at Scale
Findings (Findings), 2022
Shehzaad Dhuliawala
Leonard Adolphs
Rajarshi Das
Mrinmaya Sachan
399
12
0
20 Mar 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Seohong Park
Cornelia Caragea
UQCV
283
44
0
14 Mar 2022
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
195
38
0
14 Mar 2022
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets
Michael Kranzlein
Nelson F. Liu
Nathan Schneider
187
3
0
15 Sep 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering
Findings (Findings), 2021
Shujian Zhang
Chengyue Gong
Eunsol Choi
UQLM
329
63
0
02 Jun 2021
Reducing conversational agents' overconfidence through linguistic calibration
Transactions of the Association for Computational Linguistics (TACL), 2020
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
867
238
0
30 Dec 2020
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
Transactions of the Association for Computational Linguistics (TACL), 2020
Zhengbao Jiang
Jun Araki
Haibo Ding
Graham Neubig
UQCV
523
549
0
02 Dec 2020
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