2 papers
cs.NI2026
QoS-Aware RACH Preamble Slicing via Quota-Projected Branching Deep Reinforcement Learning
Jiulin Guo, Jiahan Xu, Jiashuo Zhang +6
Quality-of-service (QoS)-aware random access requires adaptive allocation of a finite random access channel (RACH) preamble budget across heterogeneous traffic and access procedure…
cs.CV2026
Guided Prompt Evolution for Vision-Language Models Adaptation
Enming Zhang, Jiayang Li, Yanlong Wang +3
The adaptation of large-scale vision-language models (VLMs) to downstream tasks with limited labeled data remains a significant challenge. While parameter-efficient prompt learning…