Selecting Informative Contexts Improves Language Model Finetuning

1 May 2020

Papers citing "Selecting Informative Contexts Improves Language Model Finetuning"

6 / 6 papers shown

Title
Compute-Constrained Data Selection Junjie Oscar Yin Alexander M. Rush 39 0 0 21 Oct 2024
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data Atilla Akkus Mingjie Li Junjie Chu Junjie Chu Michael Backes Sinem Sav Sinem Sav SILM SyDa 43 1 0 12 Sep 2024
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models Xuechen Liang Meiling Tao Yinghui Xia Yiting Xie Jun Wang JingSong Yang LLMAG 31 12 0 02 Apr 2024
Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints Kunpeng Guo Dennis Diefenbach Antoine Gourru Christophe Gravier 13 0 0 17 Jan 2024
CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example Sheshera Mysore Timothy J. O'Gorman Andrew McCallum Hamed Zamani 18 19 0 24 Mar 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 237 205 0 25 Sep 2019