Topic
fine-grained
CHILLGuard: Fine-Grained Chinese LLM Safety Guardrail with Scalable Data and Preference Alignment
Researchers introduce CHILLGuard, a dedicated Chinese LLM content safety guardrail featuring a 5-macro, 31-micro category risk taxonomy. The system uses a scalable multi-stage data construction pipeline to create the CHILLGuardTrain dataset (405,007 samples) and achieves a 15.92% F1 score improvement over Qwen3Guard-8B-Strict via Model-aware Direct Preference Optimization.
FineVLA Framework Improves Robot Instruction Following by 62.7% in Real-World Dual-Arm Manipulation
Researchers introduce FineVLA, an open framework for fine-grained instruction alignment in vision-language-action (VLA) robot policies. The framework includes a dataset of 47,159 human-verified trajectories, a benchmark with 500 videos and 11,631 atomic facts, and a steerable policy that improves real-world dual-arm manipulation success from 49.9% (raw-only) to 62.7%.