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Generative Calibration for In-context Learning

Generative Calibration for In-context Learning

16 October 2023
Zhongtao Jiang
Yuanzhe Zhang
Cao Liu
Jun Zhao
Kang Liu
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Papers citing "Generative Calibration for In-context Learning"

13 / 13 papers shown
Title
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
32
0
0
04 May 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
132
69
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 Detection
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
90
1
0
16 Dec 2024
Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many Classes
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
37
1
0
05 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
46
2
0
24 Jun 2024
Rectifying Demonstration Shortcut in In-Context Learning
Rectifying Demonstration Shortcut in In-Context Learning
Joonwon Jang
Sanghwan Jang
Wonbin Kweon
Minjin Jeon
Hwanjo Yu
32
1
0
14 Mar 2024
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
178
52
0
20 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
367
8,495
0
28 Jan 2022
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
234
156
0
15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
279
1,124
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,919
0
31 Dec 2020
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