2 papers
cs.DC2026
Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement
Tian Wu, Liming Wang, Zijian Wen +5
The emergence of Mixture-of-Experts (MoE) has transformed the scaling of large language models by enabling vast model capacity through sparse activation. Yet, converting these perf…
cs.DL2026
Measuring the State of Open Science in Transportation Using Large Language Models
Junyi Ji, Ruth Lu, Linda Belkessa +8
Open science initiatives have strengthened scientific integrity and accelerated research progress across many fields, but the state of their practice within transportation research…