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A Deep Learning Framework for Verilog Autocompletion Towards Design and
  Verification Automation

A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation

26 April 2023
Enrique Dehaerne
Bappaditya Dey
S. Halder
S. de Gendt
ArXivPDFHTML

Papers citing "A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation"

2 / 2 papers shown
Title
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
Shafiq R. Joty
S. Hoi
201
1,451
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
242
1,977
0
31 Dec 2020
1