Notable AIINT arXiv cs.AI

LLM Serving Optimization with Variable Prefill and Decode Lengths

arXiv:2508.06133v5 Announce Type: replace-cross Abstract: We study offline scheduling for large language model (LLM) serving under a fixed KV-cache memory budget, where requests have heterogeneous prompt (prefill) and response (decode) lengths…

Read the full story at arXiv cs.AI ↗

ImpactNotable 31/100
Why it mattersRule-based estimate: event keywords (+4); trust 6/10.
RegionsGlobal
Published1 h ago (Wed, 30 Sep 2026 04:00:00 GMT)
RetrievedWed, 30 Sep 2026 04:00:56 GMT via rss
ClassifiedWed, 30 Sep 2026 04:01:19 GMT by heuristic
AuthorMeixuan Wang, Yinyu Ye, Zijie Zhou