2 papers
cs.AI2026
: Reliable, Efficient, and Auditable LLM Safeguards via Latent Reasoning
Zhinan Liu, Jie Li, Mingyu Kang +1
Reasoning-based large language model (LLM) safeguards improve safety classification accuracy by generating explicit rationales before making decisions. However, generating explicit…
cs.CL2026
A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding
Yihong Xu, Mingyu Kang, Linyuan Lü
Intent detection is a critical task that bridges human intents and system actions in human-machine interaction systems. However, there still exist challenges for detecting out-of-s…