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cs.CL2026
Signed Rescue Routing: Harm-Aware Cascades for Efficient LLM Inference
Zheyuan Wang, Siyu Li, Peiqiao Song +3
Large language model (LLM) cascades answer easy requests with a small model and escalate selected requests to a larger model. Most routers prioritize examples on which the small mo…
cs.LG2026
Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation
Shutong Zheng, Sijia Chen
One-shot federated graph learning generally aims to train Graph Neural Networks (GNNs) across clients with disconnected subgraphs in a single communication round. Existing methods…