← Back to Research Radar
Academic Publication Academic Publication

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

86
Citations
June 30, 2025
Published Date

Research Abstract & Technology Focus

The significant advancements in Large Language Models (LLMs) have resulted in their widespread adoption across various tasks within Software Engineering (SE), including vulnerability detection and repair. Numerous studies have investigated the application of LLMs to enhance vulnerability detection and repair tasks. Despite the increasing research interest, there is currently no existing survey that focuses on the utilization of LLMs for vulnerability detection and repair. In this paper, we aim to bridge this gap by offering a systematic literature review of approaches aimed at improving vulnerability detection and repair through the utilization of LLMs. The review encompasses research work from leading SE, AI, and Security conferences and journals, encompassing 43 papers published across 25 distinct venues, along with 15 high-quality preprint papers, bringing the total to 58 papers. By answering three key research questions, we aim to (1) summarize the LLMs employed in the relevant literature, (2) categorize various LLM adaptation techniques in vulnerability detection, and (3) classify various LLM adaptation techniques in vulnerability repair. Based on our findings, we have identified a series of limitations of existing studies. Additionally, we have outlined a roadmap highlighting potential opportunities that we believe are pertinent and crucial for future research endeavors.
large language model vulnerability detection repair
Read Full Literature

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

crossref.org › academic paper
0%

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

No description provided.
crossref.org › academic paper
0%

Security and Privacy Challenges of Large Language Models: A Survey

Large language models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. ...
crossref.org › academic paper
0%

Benchmarking Large Language Models in Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the hallucination of large language models (LLMs). However, existing research lacks rigorous evaluation of the impact of ...
crossref.org › academic paper
0%

Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals

As the health care industry increasingly embraces large language models (LLMs), understanding the consequence of this integration becomes crucial for maximizing benefits while mitigating potential ...
crossref.org › academic paper
0%

Large Language Models for Software Engineering: A Systematic Literature Review

Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead'?

This literature focuses on: The significant advancements in Large Language Models (LLMs) have resulted in their widespread adoption across various tasks within Software Engineering (SE), including vulnerability detection and repair. Numerous studies have investigated the app...

Are there open-source GitHub repositories related to Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead?

Yes, open-source projects like PKU-YuanGroup/Helios (Helios: Real Real-Time Long Video Generation Model) are actively building upon these concepts.

Which startups are commercializing the technology behind Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead?

Products like FreeCAD 1.1 are bringing this to market. Their focus is: Extremely powerful, completely free 3D CAD modeling.

What other academic literature is closely related to 'Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead'?

Yes, highly correlated activity was mapped. An entry titled 'Large Language Model for Vulnerability Detection: Emerging Results and Future Directions' discusses this: No description provided.

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.

Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

Associated Media Narrative