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.CV2026
GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models
Chaoxiang Cai, Minghe Weng, Jie Li +4
With the increase in model parameters and training data, the instruction following and generalization capabilities of Large VisionLanguage Models (LVLMs) have been significantly im…