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Works (8)
Updated: December 10th, 2024 05:01
2024 journal article
<i>PTM4Tag+</i>: Tag recommendation of stack overflow posts with pre-trained models
EMPIRICAL SOFTWARE ENGINEERING, 30(1).
author keywords: Tag recommendation; Stack overflow; Pre-trained models; Transformer
Source: Web Of Science
Added: December 2, 2024
2024 article
A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback
PROCEEDINGS OF THE 1ST ACM INTERNATIONAL CONFERENCE ON AI-POWERED SOFTWARE, AIWARE 2024, pp. 103–111.
author keywords: Automated Vulnerability Repair; Large Language Models
open access via arxiv.org (repository)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 15, 2024
2024 journal article
An empirical study on the effectiveness of large language models for SATD identification and classification
EMPIRICAL SOFTWARE ENGINEERING, 29(6).
author keywords: Self-admitted technical debt (SATD); SATD identification; SATD classification; Large language models; Fine tuning; In-context learning
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: October 14, 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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
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 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
Source: Web Of Science
Added: May 13, 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
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