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cs.AI2026
Beyond Task-Only Matching: Personalized Skill Routing with Counterfactual Evaluation
Tianle Wang, Yanghe Zou, Xiang Liu +3
The rapid expansion of reusable skill repositories makes skill routing a critical capability for large language model (LLM) agents. Existing methods treat routing as task-only sema…
cs.AI2025
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters
Xiang Liu, Hau Chan, Minming Li +3
Federated learning (FL) is a promising approach that allows requesters (\eg, servers) to obtain local training models from workers (e.g., clients). Since workers are typically unwi…