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Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test
  Generation: An Empirical Study

Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study

4 November 2024
André Storhaug
Jingyue Li
    ALM
ArXivPDFHTML

Papers citing "Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study"

2 / 2 papers shown
Title
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed A. Agiza
Marina Neseem
Sherief Reda
MoE
24
12
0
29 Mar 2024
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek
Michele Tufano
Neel Sundaresan
Alexey Svyatkovskiy
OffRL
ALM
36
14
0
03 Oct 2023
1