arXiv:2604.01441v1 Announce Type: cross
Abstract: Modern real-time systems require accurate characterization of task timing behavior to ensure predictable performance, particularly on complex hardware architectures. Existing methods, such as worst-cas…
arXiv:2603.28795v1 Announce Type: cross
Abstract: We address LLM serving workloads where repeated requests share a common solution structure but differ in localized constraints, such as output schema, variable names, or numeric constants. Prior cachin…
arXiv:2603.26722v1 Announce Type: cross
Abstract: While Spiking Neural Networks (SNNs) promise to circumvent the severe Size, Weight, and Power (SWaP) constraints of edge intelligence, the field currently faces a “Deployment Paradox” where theoretical…
arXiv:2510.04607v2 Announce Type: replace-cross
Abstract: Computer-use agents (CUAs) powered by large language models (LLMs) have emerged as a promising approach to automating computer tasks, yet they struggle with the existing human-oriented OS inter…