A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
Software Engineering Tasks

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks

25 December 2023

Xiaoyu Shen

Papers citing "A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks"

8 / 8 papers shown

Title
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning Qingyu Yin Xuzheng He Luoao Deng Chak Tou Leong Fan Wang Yanzhao Yan Xiaoyu Shen Qiang Zhang 26 2 0 07 Oct 2024
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts R. Prabhakar R. Sivaramakrishnan Darshan Gandhi Yun Du Mingran Wang ... Urmish Thakker Dawei Huang Sumti Jairath Kevin J. Brown K. Olukotun MoE 36 12 0 13 May 2024
RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair André Silva Sen Fang Martin Monperrus MoMe KELM 49 32 0 25 Dec 2023
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 43 129 0 24 Jul 2022
Is the Number of Trainable Parameters All That Actually Matters? A. Chatelain Amine Djeghri Daniel Hesslow Julien Launay Iacopo Poli 30 7 0 24 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 201 1,451 0 02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 188 853 0 09 Feb 2021