2 papers
cs.SE2026
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
Huashan Chen, Zhenyu Qi, Haotang Li +7
Large Language Models (LLMs) have become central to automated code generation, yet existing approaches operate within a single-LLM paradigm: one model is selected and applied throu…
cs.DC2026
Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
Ahmad N. L. Nabhaan, Zaki Sukma, Rakandhiya D. Rachmanto +4
For deep learning inference on edge devices, hardware configurations achieving the same throughput can differ by 2 in power consumption, yet operators often struggle to fin…