Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

15 September 2022

Ran Xu

Papers citing "Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach"

23 / 23 papers shown

Title
Active Learning for Vision-Language Models Bardia Safaei Vishal M. Patel VLM 42 2 0 29 Oct 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking Zhengyu Hu Jieyu Zhang Yue Yu Yuchen Zhuang Hui Xiong 26 5 0 04 Dec 2023
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 41 54 0 14 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning Yue Yu Jiaming Shen Tianqi Liu Zhen Qin Jing Nathan Yan Jialu Liu Chao Zhang Michael Bendersky 46 6 0 13 Nov 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang Zhuohang Li Kamalika Das Kumar Sricharan 23 2 0 31 Oct 2023
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting Hejie Cui Xinyu Fang Zihan Zhang Ran Xu Xuan Kan Xin Liu Yue Yu Manling Li Yangqiu Song Carl Yang VLM 22 4 0 28 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning Hongfu Liu Ye Wang 34 9 0 13 Oct 2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer Yuchen Zhuang Xin Shen Yan Zhao Chaosheng Dong Ming Wang Jin Li Chao Zhang AI4TS 31 3 0 25 Jun 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch Matthias Aßenmacher Denis Huseljic Moritz Wirth Bernd Bischl Bernhard Sick 36 11 0 16 Jun 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 39 2 0 05 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 33 6 0 05 Jun 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval Yue Yu Yuchen Zhuang Rongzhi Zhang Yu Meng Jiaming Shen Chao Zhang VLM 35 33 0 18 May 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 19 23 0 10 Jan 2023
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions Rafal Kocielnik Sara Kangaslahti Shrimai Prabhumoye M. Hari R. Alvarez Anima Anandkumar 13 6 0 21 Nov 2022
Active Learning Through a Covering Lens Ofer Yehuda Avihu Dekel Guy Hacohen D. Weinshall 13 48 0 23 May 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 124 116 0 06 Feb 2022
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
Zero-Round Active Learning Si-An Chen Tianhao Wang R. Jia 61 4 0 14 Jul 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 1,918 0 31 Dec 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,588 0 21 Jan 2020