Automated batch from auto-improvement/scripts/paper_review.py.
- Research roll-up:
auto-improvement/research/2026-05-29T04-44_paper-batch.md
- Candidates drafted under
auto-improvement/pending/: 0
Candidates
No candidate surfaced relevant detector ideas this batch.
All papers reviewed
- ⏭️ SecLens: Role-Specific Evaluation of LLMs for Security Vulnerability Detection (arXiv, 2026.04.02)
- ⏭️ CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research? (TMLR, 2026.03.10)
- ⏭️ Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs (arxiv, 2026.01.31)
- ⏭️ Towards a Cognitive-Support Tool for Threat Hunters (arxiv, 2026.01.31)
- ⏭️ AEGIS: White-Box Attack Path Generation using LLMs and Training Effectiveness Evaluation for Large-Scale Cyber Defence Exercises (arxiv, 2026.01.30)
- ⏭️ RedSage: A Cybersecurity Generalist LLM (arxiv, 2026.01.29)
- ⏭️ User-Centric Phishing Detection: A RAG and LLM-Based Approach (arxiv, 2026.01.29)
- ⏭️ Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report (arxiv, 2026.01.28)
- ⏭️ Lightweight LLMs for Network Attack Detection in IoT Networks (arxiv, 2026.01.21)
- ⏭️ Towards Cybersecurity Superintelligence: from AI-guided humans to human-guided AI (arxiv, 2026.01.21)
Reviewer checklist:
Automated batch from
auto-improvement/scripts/paper_review.py.auto-improvement/research/2026-05-29T04-44_paper-batch.mdauto-improvement/pending/: 0Candidates
No candidate surfaced relevant detector ideas this batch.
All papers reviewed
Reviewer checklist:
aigis/module via PR