2 papers
cs.CL2026
BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
Zijun Jia, Yuanchang Ye, Sen Jia +6
Large language models (LLMs) can enhance factuality via retrieval-augmented generation (RAG), but applying RAG to every query is unnecessary when the model-only answer is reliable.…
cs.AI2025
Calibrated Prediction Set in Fault Detection with Risk Guarantees via Significance Tests
Mingchen Mei, Yi Li, YiYao Qian +1
Fault detection is crucial for ensuring the safety and reliability of modern industrial systems. However, a significant scientific challenge is the lack of rigorous risk control an…