Prototypical Calibration for Few-shot Learning of Language Models

Prototypical Calibration for Few-shot Learning of Language Models

20 May 2022

Papers citing "Prototypical Calibration for Few-shot Learning of Language Models"

17 / 17 papers shown

Title
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
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 41 0 0 02 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Aligning Black-box Language Models with Human Judgments Gerrit J. J. van den Burg Gen Suzuki Wei Liu Murat Sensoy ALM 82 0 0 07 Feb 2025
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 16 0 0 24 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 36 2 0 02 Oct 2024
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
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 91 64 0 30 Apr 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models Kang He Yinghan Long Kaushik Roy 28 2 0 15 Feb 2024
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning Yong Zhang Hanzhang Li Zhitao Li Ning Cheng Ming Li Jing Xiao Jianzong Wang 26 3 0 18 Jan 2024
Decoder Tuning: Efficient Language Understanding as Decoding Ganqu Cui Wentao Li Ning Ding Longtao Huang Zhiyuan Liu Maosong Sun 21 6 0 16 Dec 2022
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 182 77 0 16 Sep 2022
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 188 102 0 19 Sep 2021
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 1,121 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? 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 Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020