Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification

14 August 2023

Papers citing "Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification"

8 / 8 papers shown

Title
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection José Gonçalves Miguel Silva Eva Maia Isabel Praça 24 0 0 08 May 2025
1LoRA: Summation Compression for Very Low-Rank Adaptation Alessio Quercia Zhuo Cao Arya Bangun Richard D. Paul Abigail Morrison Ira Assent Hanno Scharr 55 0 0 11 Mar 2025
Evaluating LLaMA 3.2 for Software Vulnerability Detection José Gonçalves Miguel Silva Bernardo Cabral Tiago Dias Eva Maia Isabel Praça Ricardo Severino Luis Lino Ferreira 41 1 0 10 Mar 2025
NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques Neele Falk Annerose Eichel P. Piccirilli 6 4 0 27 Apr 2023
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection Timo Hromadka Timotej Smolen T. Remiš Branislav Pecher Ivan Srba 16 9 0 24 Apr 2023
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 138 178 0 13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018