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Relevance Transformer: Generating Concise Code Snippets with Relevance
  Feedback
v1v2 (latest)

Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback

6 July 2020
Carlos Gemmell
Federico Rossetto
Jeffrey Stephen Dalton
ArXiv (abs)PDFHTML

Papers citing "Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback"

5 / 5 papers shown
Title
Who Evaluates the Evaluators? On Automatic Metrics for Assessing
  AI-based Offensive Code Generators
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators
Pietro Liguori
Cristina Improta
R. Natella
B. Cukic
Domenico Cotroneo
ELM
117
18
0
12 Dec 2022
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT
  Models for Code Generation
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation
Pietro Liguori
Cristina Improta
S. D. Vivo
R. Natella
B. Cukic
Domenico Cotroneo
AAML
86
5
0
29 Mar 2022
Neural Program Generation Modulo Static Analysis
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee
Yeming Wen
Dipak Chaudhari
Thomas W. Reps
Swarat Chaudhuri
C. Jermaine
89
25
0
26 Oct 2021
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Pietro Liguori
Erfan Al-Hossami
Domenico Cotroneo
R. Natella
B. Cukic
Samira Shaikh
107
29
0
27 Apr 2021
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
HongChien Yu
Zhuyun Dai
Jamie Callan
37
22
0
20 Jan 2021
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