Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …
extensive code corpora, with the aim of developing intelligent tools to improve the quality …
What do code models memorize? an empirical study on large language models of code
The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …
resources have led to effective code models that automate diverse software engineering …
Exploring the effectiveness of llms in automated logging generation: An empirical study
Automated logging statement generation supports developers in documenting critical
software runtime behavior. Given the great success in natural language generation and …
software runtime behavior. Given the great success in natural language generation and …
Go static: Contextualized logging statement generation
Logging practices have been extensively investigated to assist developers in writing
appropriate logging statements for documenting software behaviors. Although numerous …
appropriate logging statements for documenting software behaviors. Although numerous …
Do not give away my secrets: Uncovering the privacy issue of neural code completion tools
Neural Code Completion Tools (NCCTs) have reshaped the field of software development,
which accurately suggest contextually-relevant code snippets benefiting from language …
which accurately suggest contextually-relevant code snippets benefiting from language …
Robustness, security, privacy, explainability, efficiency, and usability of large language models for code
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …
high accuracy) in processing source code, have significantly transformed software …
[PDF][PDF] The Relationship between Environment and Physical Fitness on Physical Education Learning Outcomes and Al-Quran Tahfidz Ability of Middle School Students
U Andica, W Welis, S Syahrastani… - Journal of Education …, 2024 - learntechlib.org
The problem in this research is the low ability of learning outcomes (physical education
learning outcomes and the ability to recite the Koran) as well as the low fitness of students …
learning outcomes and the ability to recite the Koran) as well as the low fitness of students …
Syntax-guided program reduction for understanding neural code intelligence models
Neural code intelligence (CI) models are opaque black-boxes and offer little insight on the
features they use in making predictions. This opacity may lead to distrust in their prediction …
features they use in making predictions. This opacity may lead to distrust in their prediction …
Unveiling memorization in code models
The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …
resources have led to effective code models that automate diverse software engineering …
A comparison of antibody–antigen complex sequence‐to‐structure prediction methods and their systematic biases
KM McCoy, ME Ackerman, G Grigoryan - Protein Science, 2024 - Wiley Online Library
The ability to accurately predict antibody–antigen complex structures from their sequences
could greatly advance our understanding of the immune system and would aid in the …
could greatly advance our understanding of the immune system and would aid in the …