Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
| Date | Stars |
|---|---|
| 2026-08-05 | 1208 |
| 2026-08-13 | 1230 |
| 2026-08-18 | 1241 |
| 2026-08-20 | 1242 |
| 2026-08-21 | 1242 |
| 2026-08-22 | 1247 |
| 2026-08-23 | 1256 |
| 2026-08-24 | 1271 |
| 2026-08-25 | 1280 |
| 2026-08-26 | 1283 |
| 2026-08-28 | 1295 |
| 2026-08-29 | 1312 |
| 2026-08-30 | 1321 |
| 2026-08-31 | 1332 |
| 2026-09-01 | 1371 |
| 2026-09-02 | 1377 |
| 2026-09-03 | 1378 |
| 2026-09-04 | 1378 |
| 2026-09-05 | 1396 |
| 2026-09-06 | 1406 |
| 2026-09-07 | 1408 |
| 2026-09-08 | 1410 |
| 2026-09-09 | 1411 |
| 2026-09-10 | 1413 |
| 2026-09-11 | 1415 |
| 2026-09-13 | 1416 |
| 2026-09-14 | 1416 |
| 2026-09-15 | 1418 |
| 2026-09-16 | 1420 |
| 2026-09-18 | 1422 |
| 2026-09-19 | 1423 |
| 2026-09-21 | 1424 |
| 2026-09-22 | 1425 |
| 2026-09-24 | 1425 |
| 2026-09-25 | 1423 |
| 2026-09-26 | 1424 |
| 2026-09-29 | 1426 |
| 2026-09-30 | 1427 |
| 2026-10-03 | 1426 |
| 2026-10-05 | 1425 |
| 2026-10-06 | 1453 |
| 2026-10-07 | 1473 |
| 2026-10-08 | 1476 |
| 2026-10-09 | 1478 |
| 2026-10-10 | 1480 |
| 2026-10-11 | 1482 |
| 2026-10-12 | 1483 |
| 2026-10-13 | 1486 |
| 2026-10-14 | 1486 |
| 2026-10-15 | 1490 |
| 2026-10-16 | 1492 |
| 2026-10-17 | 1493 |
| 2026-10-18 | 1495 |
| 2026-10-19 | 1495 |
| 2026-10-20 | 1496 |
| 2026-10-21 | 1493 |
| 2026-10-23 | 1491 |
| 2026-10-24 | 1490 |
| 2026-10-25 | 1491 |
| 2026-10-26 | 1490 |
| 2026-10-27 | 1491 |
| 2026-10-28 | 1492 |
| 2026-10-29 | 1491 |
| 2026-10-31 | 1492 |
| 2026-11-01 | 1493 |
| 2026-11-03 | 1499 |
| 2026-11-04 | 1553 |
Today
+54 stars today
This week
+61 stars this week
This month
+128 stars this month
Momentum
277.0
growth rate 4.09%/day
# Awesome Large Language Models for Vulnerability Detection A curated list of papers, projects, and agent skills on using LLMs for vulnerability detection and discovery. --- ## 📄 Papers > Only showing 2025 and later. For earlier work, see [Papers Archive (2024 and earlier)](docs/papers_archive.md). | Title | Venue | Year | Paper | Github | | :---: | :---: | :--: | :---: | :---: | | VulnGym: Benchmarking Coding Agents for Repository-Level Vulnerability Detection | | 2026 | [link](https://arxiv.org/abs/2608.02001) | [link](https://github.com/Tencent/VulnGym) | | VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection | | 2026 | [link](https://arxiv.org/abs/2605.09461) | [link](https://github.com/vinsontang1/VulTriage) | | Synthesizing Multi-Agent Harnesses for Vulnerability Discovery | | 2026 | [link](https://arxiv.org/abs/2604.20801) | [link](https://github.com/berabuddies/agentflow) | | QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery | | 2026 | [link](https://arxiv.org/abs/2602.09774) | | | Seclens: Role-specific Evaluation of LLM's for security vulnerablity detection | | 2026 | [link](https://arxiv.org/abs/2604.01637) | [link](https://github.com/mattersec-labs/seclens) | | Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap | | 2026 | [link](https://arxiv.org/abs/2601.22655) | | | Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering | ISSTA | 2026 | [link](https://arxiv.org/abs/2601.22952) | | | AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection | | 2026 | [link](https://arxiv.org/abs/2601.19138) | | | LLM-based Vulnerability Detection at Project Scale: An Empirical Study | | 2026 | [link](https://arxiv.org/abs/2601.19239) | | | MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution | | 2026 | [link](https://arxiv.org/abs/2601.18847) | | | VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection | | 2025 | [link](https://arxiv.org/abs/2512.07533) | | | VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization | | 2025 | [link](https://arxiv.org/abs/2511.11896) | | | VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications | | 2025 | [link](https://arxiv.org/abs/2511.04014) | | | From Large to Mammoth: A Comparative Evaluation of Large Language Models in Vulnerability Detection | NDSS | 2025 | [link](https://www.ndss-symposium.org/ndss-paper/from-large-to-mammoth-a-comparative-evaluation-of-large-language-models-in-vulnerability-detection/) | | | Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories | ACL | 2025 | [link](https://aclanthology.org/2025.acl-long.1490/) | [link](https://github.com/alperen21/JitVul) | | A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models | | 2025 | [link](https://arxiv.org/abs/2507.22659) | [link](https://github.com/hs-esslingen-it-security/Awesome-LLM4SVD) | | LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models | Usenix | 2025 | [link](https://arxiv.org/abs/2507.16585) | [link](https://github.com/qcri/llmxcpg) | | CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation | ACL Findings | 2025 | [link](https://aclanthology.org/2025.findings-acl.414/) | [link](https://github.com/yoimiya-nlp/CLeVeR) | | Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond | | 2025 | [link](https://arxiv.org/abs/2506.03651) | [link](https://github.com/vul337/mono) | | Learning to Focus: Context Extraction for Efficient Code Vulnerability Detection with Language Models | | 2025 | [link](https://arxiv.org/abs/2505.17460) | | | SV-TrustEval-C: Evaluating Structure and Semantic Reaso
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Subho Halder · @appknox · India
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f43f0236c04e7c41, topic:large-language-models, topic:llm
matched fp:f43f0236c04e7c41, topic:awesome-list