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Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

12 July 2021

Papers citing "Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers"

49 / 49 papers shown

Title
Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid Julius Gonsior Tim Rieß Anja Reusch Claudio Hartmann Maik Thiele Wolfgang Lehner 108 0 0 04 Jun 2025
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success Lukas Rauch Moritz Wirth Denis Huseljic M. Herde Bernhard Sick Yi Men 24 0 0 18 May 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves Timothee Mickus Aman Sinha Raúl Vázquez 80 0 0 03 Mar 2025
DUAL: Diversity and Uncertainty Active Learning for Text Summarization Petros Stylianos Giouroukis Alexios Gidiotis Grigorios Tsoumakas 70 1 0 02 Mar 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 144 0 0 01 Feb 2025
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Shuzhang Cai Twumasi Mensah-Boateng Xander Kuksov Jing Yuan Shaojie Tang 63 0 0 23 Dec 2024
Active Learning for WBAN-based Health Monitoring Cho-Chun Chiu Tuan Nguyen Ting He Shiqiang Wang Beom-Su Kim Ki-Il Kim 25 0 0 05 Aug 2024
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning Sen Yang Leyang Cui Deng Cai Xinting Huang Shuming Shi Wai Lam 78 9 0 25 Jun 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models Christopher Schröder Gerhard Heyer VLM 97 0 0 13 Jun 2024
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios Markus Bayer Justin Lutz Christian A. Reuter 131 7 0 17 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Xue Liu Weiping Ding Manabu Okumura 165 32 0 01 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 148 5 0 08 Apr 2024
On the Fragility of Active Learners for Text Classification Abhishek Ghose Emma Nguyen 126 2 0 23 Mar 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models Linhai Zhang Jialong Wu Deyu Zhou Guoqiang Xu 98 5 0 02 Mar 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba Maria Bielikova Joaquin Vanschoren 95 2 0 05 Feb 2024
Active Learning for NLP with Large Language Models Xuesong Wang 53 1 0 14 Jan 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 71 5 0 04 Dec 2023
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks Yuxuan Lu Bingsheng Yao Shao Zhang Yun Wang Peng Zhang Tun Lu Toby Jia-Jun Li Dakuo Wang ALM 91 20 0 16 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 81 15 0 16 Nov 2023
Learning to Learn for Few-shot Continual Active Learning Stella Ho Ming Liu Shang Gao Longxiang Gao KELM BDL VLM CLL 58 3 0 07 Nov 2023
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval Fan Luo Mihai Surdeanu 62 2 0 05 Nov 2023
Perturbation-based Active Learning for Question Answering Fan Luo Mihai Surdeanu 81 0 0 04 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 91 2 0 31 Oct 2023
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection Costas Mavromatis Balasubramaniam Srinivasan Zhengyuan Shen Jiani Zhang Huzefa Rangwala Christos Faloutsos George Karypis 60 26 0 30 Oct 2023
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances Zhendong Chu Ruiyi Zhang Tong Yu R. Jain Vlad I. Morariu Jiuxiang Gu A. Nenkova NoLa 118 2 0 25 Oct 2023
Cache & Distil: Optimising API Calls to Large Language Models Guillem Ramírez Matthias Lindemann Alexandra Birch Ivan Titov 76 4 0 20 Oct 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners Yun Luo Zhen Yang Fandong Meng Yingjie Li Fang Guo Qinglin Qi Jie Zhou Yue Zhang 99 2 0 09 Oct 2023
Making Pre-trained Language Models both Task-solvers and Self-calibrators Yangyi Chen Xingyao Wang Heng Ji 54 0 0 21 Jul 2023
Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost Parikshit Bansal Amit Sharma 94 40 0 27 Jun 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch Yi Men Denis Huseljic Moritz Wirth Bernd Bischl Bernhard Sick 91 13 0 16 Jun 2023
Active Learning for Natural Language Generation Yotam Perlitz Ariel Gera Michal Shmueli-Scheuer D. Sheinwald Noam Slonim L. Ein-Dor 96 3 0 24 May 2023
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings Josip Jukić Jan vSnajder 86 4 0 23 May 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 82 11 0 21 May 2023
On Dataset Transferability in Active Learning for Transformers Fran Jelenić Josip Jukić Nina Drobac Jan vSnajder 69 2 0 16 May 2023
Active Prompting with Chain-of-Thought for Large Language Models Shizhe Diao Pengcheng Wang Yong Lin Tong Zhang ReLM KELM LLMAG LRM 134 133 0 23 Feb 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 77 7 0 14 Feb 2023
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis Josip Jukić Jan Snajder 78 5 0 20 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models Niklas Deckers Maik Fröbe Johannes Kiesel G. Pandolfo Christopher Schröder Benno Stein Martin Potthast DiffM 91 16 0 14 Dec 2022
MEAL: Stable and Active Learning for Few-Shot Prompting Abdullatif Köksal Timo Schick Hinrich Schütze 98 26 0 15 Nov 2022
Active Learning with Tabular Language Models Martin Ringsquandl A. Koleva LMTD 88 0 0 08 Nov 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 100 68 0 18 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models Julius Gonsior C. Falkenberg Silvio Magino Anja Reusch Maik Thiele Wolfgang Lehner UQCV 81 7 0 06 Oct 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning Hannah Rose Kirk Bertie Vidgen Scott A. Hale 51 10 0 21 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach Yue Yu Rongzhi Zhang Ran Xu Jieyu Zhang Jiaming Shen Chao Zhang 103 21 0 15 Sep 2022
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training Xia Zeng A. Zubiaga 92 8 0 18 Aug 2022
Active Few-Shot Learning with FASL Thomas Müller Guillermo Pérez-Torró Angelo Basile Marc Franco-Salvador VLM 106 22 0 20 Apr 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 203 84 0 08 Nov 2021
Active Learning for Argument Mining: A Practical Approach Nikolai Solmsdorf Dietrich Trautmann Hinrich Schütze HAI 32 1 0 28 Sep 2021
Small-Text: Active Learning for Text Classification in Python Christopher Schröder Lydia Muller A. Niekler Martin Potthast CLIP VLM AI4CE 123 28 0 21 Jul 2021