submitted by /u/PatienceHistorical70
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ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving
Reddit r/MachineLearning / 4/7/2026
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Key Points
- The paper proposes ParetoBandit, a budget-paced adaptive routing method aimed at improving LLM serving under non-stationary request patterns.
- It uses a bandit-style decision process to route traffic dynamically while accounting for latency/cost budgets during inference.
- The approach is designed to remain effective when the underlying demand distribution changes over time, addressing a key real-world deployment challenge.
- The work frames routing as an online optimization problem, balancing service quality with constrained compute or spend.
- The article is a research submission highlighting the method and its positioning for non-stationary LLM traffic management rather than an immediate product release.
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