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Generative Calibration for In-context Learning

Generative Calibration for In-context Learning

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
16 October 2023
Zhongtao Jiang
Yuanzhe Zhang
Cao Liu
Jun Zhao
Kang Liu
ArXiv (abs)PDFHTML

Papers citing "Generative Calibration for In-context Learning"

15 / 15 papers shown
Towards Universal Neural Inference
Towards Universal Neural Inference
Shreyas Bhat Brahmavar
Yang Li
Junier B. Oliva
OOD
152
0
0
12 Aug 2025
Mechanistic Fine-tuning for In-context Learning
Mechanistic Fine-tuning for In-context Learning
Hakaze Cho
Peng Luo
Mariko Kato
Rin Kaenbyou
Naoya Inoue
382
0
0
20 May 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao
Bojian Hou
Zhanliang Wang
Ruochen Jin
Q. Long
Weijie Su
Li Shen
473
14
0
04 May 2025
D.Va: Validate Your Demonstration First Before You Use It
D.Va: Validate Your Demonstration First Before You Use ItAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Qi Zhang
Zhiqing Xiao
Ruixuan Xiao
Lirong Gao
Junbo Zhao
391
0
0
20 Feb 2025
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
Yinhong Liu
Han Zhou
Zhijiang Guo
Ehsan Shareghi
Ivan Vulić
Anna Korhonen
Nigel Collier
ALM
978
126
0
20 Jan 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
414
1
0
16 Dec 2024
Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many ClassesNeural Information Processing Systems (NeurIPS), 2024
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
333
8
0
05 Nov 2024
Shortcut Learning in In-Context Learning: A Survey
Shortcut Learning in In-Context Learning: A Survey
Rui Song
Yingji Li
Fausto Giunchiglia
Fausto Giunchiglia
Hao Xu
392
4
0
04 Nov 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
501
6
0
24 Jun 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Beyond Performance: Quantifying and Mitigating Label Bias in LLMsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Philipp Benz
Maitreya Patel
396
27
0
04 May 2024
Why Tabular Foundation Models Should Be a Research Priority
Why Tabular Foundation Models Should Be a Research Priority
B. V. Breugel
M. Schaar
LMTDVLMAI4CE
406
85
0
02 May 2024
Rectifying Demonstration Shortcut in In-Context Learning
Rectifying Demonstration Shortcut in In-Context LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Joonwon Jang
Sanghwan Jang
Wonbin Kweon
Minjin Jeon
Hwanjo Yu
340
4
0
14 Mar 2024
Thermometer: Towards Universal Calibration for Large Language Models
Thermometer: Towards Universal Calibration for Large Language Models
Maohao Shen
Subhro Das
Kristjan Greenewald
P. Sattigeri
Greg Wornell
Soumya Ghosh
304
23
0
20 Feb 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe CalibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
239
17
0
22 Jan 2024
Calibration in Deep Learning: A Survey of the State-of-the-Art
Calibration in Deep Learning: A Survey of the State-of-the-Art
Cheng Wang
UQCV
585
73
0
02 Aug 2023
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