Distilled GPT for Source Code Summarization

28 August 2023

Papers citing "Distilled GPT for Source Code Summarization"

5 / 5 papers shown

Title
Mastering the Craft of Data Synthesis for CodeLLMs Meng Chen Philip Arthur Qianyu Feng Cong Duy Vu Hoang Yu-Heng Hong ... Mark Johnson K. K. Don Dharmasiri Long Duong Yuan-Fang Li SyDa 46 1 0 16 Oct 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods Hanlei Jin Yang Zhang Dan Meng Jun Wang Jinghua Tan 59 76 0 05 Mar 2024
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain Yun Tang A. B. D. Costa Jason Zhang Irvine Patrick Siddartha Khastgir P. Jennings ALM 34 19 0 17 Jul 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 201 283 0 03 May 2023
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