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Agentix: An Efficient Serving Engine for LLM Agents as General Programs Michael Luo, University of California, Berkeley, and ... The Physics of Thought and the Architecture of Intelligence Amin Vahdat, Google We are in a time of massive transition across ... Making Logic a First-Class Citizen in Generative ML for Networking Hongyu Hè, Minhao Jin, and Maria Apostolaki, Princeton ... Mortise: Auto-tuning Congestion Control to Optimize QoE via Network-Aware Parameter Medley: Optimizing Midgress Bandwidth for Commercial Live Streaming CDNs Haiping Wang, Fudan University and ByteDance; ... Latency-Aware Caching with Delayed Hits: From Bursty Traffic to Pipeline Architectures Nadav Keren, Gil Einziger, and Gabriel ...
HybridMesh: A Hardware-software Hybrid Approach for Accelerating Service Mesh Ingress Myoungsung You, University of Seoul; ... Managing Congestion Control Heterogeneity on the Internet with Approximate Performance Isolation Ayush Mishra, ETH Zurich; ... Mitigating CPU Frontend for Complex Data Plane Applications Yihan Dang, Hao Li, Ze Xia, Jiajun Luan, and Peng Zhang, Xi'an ... RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement
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NSDI '26 - Agentix: An Efficient Serving Engine for LLM Agents as General Programs
NSDI '26 - Keynote: The Physics of Thought and the Architecture of Intelligence
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Last Updated: June 4, 2026
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