Is this your profile?
Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. Just create or connect your ORCID iD.
Create or connect your ORCID iD
Works (5)
Updated: May 24th, 2024 05:00
2024 journal article
Representation Learning for Stack Overflow Posts: How Far Are We?
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 33(3).
author keywords: Stack Overflow; transformers; pre-trained models
dl.acm.org (publisher PDF)
Source: Web Of Science
Added: May 13, 2024
2024 journal article
Stealthy Backdoor Attack for Code Models
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 50(4), 721–741.
author keywords: Adversarial attack; data poisoning; backdoor attack; pre-trained models of code
Source: Web Of Science
Added: May 20, 2024
2023 article
Are We Ready to Embrace Generative AI for Software Q&A?
2023 38TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE, pp. 1713–1717.
TL;DR:
It is suggested that human-written and ChatGPT-generated answers are semantically similar, however, human- written answers outperform ChatG PT-generated ones consistently across multiple aspects, specifically by 10% on the overall score.
(via Semantic Scholar)
Source: Web Of Science
Added: January 29, 2024
2023 article
CCBERT: Self-Supervised Code Change Representation Learning
2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSME, pp. 182–193.
TL;DR:
CCBERT (Code Change BERT), a new Transformer-based pre-trained model that learns a generic representation of code changes based on a large-scale dataset containing massive unlabeled code changes, is proposed.
(via Semantic Scholar)
Source: Web Of Science
Added: February 26, 2024
2023 article
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
2023 38TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE, pp. 40–52.
TL;DR:
An exploratory study on the distribution of SE data found that such data usually follows a skewed distribution where a small number of classes have an extensive collection of samples, while a large number of Classes have very few samples, which has a substantial impact on the effectiveness of LLMs for code.
(via Semantic Scholar)
Source: Web Of Science
Added: January 29, 2024
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.