#LLM Safety
2 articles
ChatGPT Monthly Paper Summary - Simultaneously Advancing Safety, Real-World Implementation, and Verifiability
March research shifted focus from improving model performance to ensuring safe, interpretable, and verifiable operation in real environments. Key advances in safety cases, agent robustness, robot a...
ChatGPT Paper Review March 16, 2026 - Designing Safe and Practical AI Agents
Focusing on safety, robustness, and generalization, this review integrates findings on LLM external manipulation vulnerabilities, alignment methods (5 papers), and the latest trends in ML, CV, and ...