{"total":22,"rows":[{"id":"2408.15792","title":"Efficient LLM Scheduling by Learning to Rank","created":"2024-08-28","cited_by_count":85,"area":"inference"},{"id":"2407.00047","title":"Queue management for slo-oriented large language model serving","created":"2024-06-05","cited_by_count":36,"area":"inference"},{"id":"2505.09999","title":"ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production","created":"2025-05-15","cited_by_count":29,"area":"inference"},{"id":"2503.05096","title":"AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving","created":"2025-03-07","cited_by_count":18,"area":"inference"},{"id":"2504.20068","title":"JITServe: SLO-aware LLM Serving with Imprecise Request Information","created":"2025-04-24","cited_by_count":17,"area":"inference"},{"id":"2502.15197","title":"TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding","created":"2025-02-21","cited_by_count":15,"area":"inference"},{"id":"2501.14808","title":"HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location","created":"2025-01-15","cited_by_count":10,"area":"inference"},{"id":"2510.02758","title":"TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling","created":"2025-10-03","cited_by_count":10,"area":"inference"},{"id":"2410.14257","title":"Revisiting Service Level Objectives and System Level Metrics in Large Language Model Serving","created":"2024-10-18","cited_by_count":5,"area":"inference"},{"id":"2411.18424","title":"FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving","created":"2024-11-27","cited_by_count":5,"area":"inference"},{"id":"2504.03651","title":"Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving","created":"2025-03-01","cited_by_count":3,"area":"inference"},{"id":"2504.17999","title":"Streaming, Fast and Slow: Cognitive Load-Aware Streaming for Efficient LLM Serving","created":"2025-04-25","cited_by_count":3,"area":"inference"},{"id":"2601.08833","title":"Revisiting Disaggregated Large Language Model Serving for Performance and Energy Implications","created":"2025-11-14","cited_by_count":2,"area":"inference"},{"id":"2501.12162","title":"AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding","created":"2025-01-21","cited_by_count":1,"area":"inference"},{"id":"2412.04788","title":"GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments","created":"2024-12-06","cited_by_count":0,"area":"inference"},{"id":"2502.14617","title":"SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling","created":"2025-02-20","cited_by_count":0,"area":"inference"},{"id":"2512.12928","title":"ProServe: Unified Multi-Priority Request Scheduling for LLM Serving","created":"2025-12-15","cited_by_count":0,"area":"inference"},{"id":"2603.21257","title":"CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands","created":"2026-03-22","cited_by_count":0,"area":"inference"},{"id":"2605.06914","title":"Regulating Branch Parallelism in LLM Serving","created":"2026-05-07","cited_by_count":0,"area":"inference"},{"id":"2606.16264","title":"Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing","created":"2026-06-15","cited_by_count":0,"area":"inference"},{"id":"2606.18431","title":"Beyond Prediction: Tail-Aware Scheduling for LLM Inference","created":"2026-06-16","cited_by_count":0,"area":"inference"},{"id":"2607.20723","title":"Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing","created":"2026-07-22","cited_by_count":0,"area":"inference"}],"next_cursor":null}