CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment

In three linesCHILLGuard is a safety guardrail system for Chinese LLMs with fine-grained taxonomy (5 macro, 31 micro categories). Authors construct 405k training samples via RAG and prompt rewriting, plus 51k annotated test samples. Model achieves +15.92% F1 improvement over Qwen3Guard-8B-Strict using Direct Preference Optimization.

Summary generated by Claude — human-verified