[HTML][HTML] When llms meet cybersecurity: A systematic literature review
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …
various fields, including cybersecurity, which faces an evolving threat landscape and …
A new era in software security: Towards self-healing software via large language models and formal verification
This paper introduces an innovative approach that combines Large Language Models
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …
From llms to llm-based agents for software engineering: A survey of current, challenges and future
With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …
applications in var ious vertical domains, such as software engineering. LLMs have …
Cref: An llm-based conversational software repair framework for programming tutors
With the proven effectiveness of L arge L anguage M odels (LLMs) in code-related tasks,
researchers have explored their potential for program repair. However, existing repair …
researchers have explored their potential for program repair. However, existing repair …
Parameter-efficient fine-tuning in large models: A survey of methodologies
L Wang, S Chen, L Jiang, S Pan, R Cai, S Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
The large models, as predicted by scaling raw forecasts, have made groundbreaking
progress in many fields, particularly in natural language generation tasks, where they have …
progress in many fields, particularly in natural language generation tasks, where they have …
You Don't Have to Say Where to Edit! jLED–Joint Learning to Localize and Edit Source Code
Learning to edit code automatically is becoming more and more feasible. Thanks to recent
advances in Neural Machine Translation (NMT), various case studies are being investigated …
advances in Neural Machine Translation (NMT), various case studies are being investigated …
Resource-Efficient & Effective Code Summarization
Code Language Models (CLMs) have demonstrated high effectiveness in automating
software engineering tasks such as bug fixing, code generation, and code documentation …
software engineering tasks such as bug fixing, code generation, and code documentation …
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
Software systems have been evolving rapidly and inevitably introducing bugs at an
increasing rate, leading to significant losses in resources consumed by software …
increasing rate, leading to significant losses in resources consumed by software …
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Software vulnerabilities continue to be ubiquitous, even in the era of AI-powered code
assistants, advanced static analysis tools, and the adoption of extensive testing frameworks …
assistants, advanced static analysis tools, and the adoption of extensive testing frameworks …
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
Q Feng, X Ma, J Sheng, Z Feng, W Song… - arxiv preprint arxiv …, 2024 - arxiv.org
LLMs have garnered considerable attention for their potential to streamline Automated
Program Repair (APR). LLM-based approaches can either insert the correct code or directly …
Program Repair (APR). LLM-based approaches can either insert the correct code or directly …