Showing papers from Xiaohongshu Inc. Show all papers
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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SageSched predicts LLM output-length distributions and schedules via compute-and-memory cost models, improving efficiency by over 28.7%.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Justitia schedules task-parallel LLM agents via memory-centric cost prediction and virtual-time fair queuing to improve efficiency while preserving fairness and worst-case delays.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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