3 papers
cs.AI2026
EAT: Expert Account Tracker for Efficient MoE Inference
Yuexian Li, Yifei Yang, Zouying Cao +1
Mixture-of-Experts (MoE) models have emerged as a revolutionary method to scale Transformer models. However, traditional MoE architecture still suffers from inefficiency since a la…
cs.CL2026
On the Efficiency-Safety Dilemma in Large Reasoning Models
Yifei Yang, Zouying Cao, Xingrui Wang +4
Large reasoning models (LRMs) incur high inference costs, often mitigated by efficiency techniques like quantization and pruning. However, the impact of these techniques on model a…
cs.CL2026
Code Is More Than Text: Uncertainty Estimation for Code Generation
Yuling Shi, Caiqi Zhang, Yuexian Li +4
Large language models (LLMs) are increasingly deployed as code generators, where silently wrong programs pose real safety and reliability risks. Reliable uncertainty estimation (UE…