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CodeExp: Explanatory Code Document Generation

CodeExp: Explanatory Code Document Generation

25 November 2022
Haotian Cui
Chenglong Wang
Junjie Huang
J. Inala
Todd Mytkowicz
Bolong Wang
Jian Gao
Nan Duan
ArXivPDFHTML

Papers citing "CodeExp: Explanatory Code Document Generation"

4 / 4 papers shown
Title
Mastering the Craft of Data Synthesis for CodeLLMs
Mastering the Craft of Data Synthesis for CodeLLMs
Meng Chen
Philip Arthur
Qianyu Feng
Cong Duy Vu Hoang
Yu-Heng Hong
...
Mark Johnson
Kemal Kurniawan
Don Dharmasiri
Long Duong
Yuan-Fang Li
SyDa
60
1
0
16 Oct 2024
Evaluating the Quality of Code Comments Generated by Large Language
  Models for Novice Programmers
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
Aysa Xuemo Fan
Arun Balajiee Lekshmi Narayanan
Mohammad Hassany
Jiaze Ke
ALM
ELM
28
0
0
22 Sep 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Chenyu You
Guosheng Lin
246
1,492
0
02 Sep 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
2,000
0
31 Dec 2020
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