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cs.AI2026
ORACLE: Agentic AI Orchestrator Routing Via Adaptive Verifier Calibration Feedback
Ritik Raj, Souvik Kundu, Sarbartha Banerjee +3
Modern enterprise agent deployments consist of a heterogeneous pool of large language models (LLMs) having diverse capabilities and cost. Existing model routing strategies optimize…
cs.DC2026
Serving Agentic Workflows with a Physical-Plan Compiler and Adaptive Runtime
Jiayi Qian, Yichong Zhang, Zishen Wan +4
Efficient serving of agentic workflows requires selecting each LLM node's model, verification policy, and backend to balance output quality, latency, and throughput. These assignme…
cs.AI2026
REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence
Zishen Wan, Che-Kai Liu, Jiayi Qian +3
Neuro-symbolic AI systems integrate neural perception with symbolic reasoning to enable data-efficient, interpretable, and robust intelligence beyond purely neural models. Although…