Pre-train or Annotate? Domain Adaptation with a Constrained Budget

10 September 2021

Papers citing "Pre-train or Annotate? Domain Adaptation with a Constrained Budget"

11 / 11 papers shown

Title
Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language Anastasia Zhukova Christian E. Matt Terry Ruas Bela Gipp CLL VLM 98 0 0 28 Apr 2025
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models Lipeng Ma Weidong Yang Sihang Jiang Ben Fei Mingjie Zhou Shuhao Li Bo Xu Bo Xu Yanghua Xiao 63 0 0 03 Sep 2024
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks Shi Zong Joshua Seltzer Jia-Yu Pan Pan Kathy Cheng Jimmy J. Lin 21 4 0 17 Jan 2023
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts Nghia T. Le Fan Bai Alan Ritter 35 12 0 07 Oct 2022
Modular Domain Adaptation Junshen K. Chen Dallas Card Dan Jurafsky 17 1 0 26 Apr 2022
KALA: Knowledge-Augmented Language Model Adaptation Minki Kang Jinheon Baek Sung Ju Hwang VLM KELM 30 34 0 22 Apr 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 35 13 0 15 Oct 2021
Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron A. Feder Cooper Maria Antoniak Christopher De Sa Marilyn Migiel David M. Mimno 30 3 0 22 Sep 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 644 0 21 Apr 2021
A Frustratingly Easy Approach for Entity and Relation Extraction Zexuan Zhong Danqi Chen 162 108 0 24 Oct 2020
Knowledge Enhanced Contextual Word Representations Matthew E. Peters Mark Neumann IV RobertL.Logan Roy Schwartz Vidur Joshi Sameer Singh Noah A. Smith 231 656 0 09 Sep 2019