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cs.CL2026
EndPrompt: Efficient Long-Context Extension via Terminal Anchoring
Han Tian, Luxuan Chen, Xinran Chen +10
Extending the context window of large language models typically requires training on sequences at the target length, incurring quadratic memory and computational costs that make lo…
cs.NI2026
Stage-Aware Communication Scheduling for Disaggregated LLM Serving
Yijun Sun, Xudong Liao, Songrun Xie +5
Meeting stringent Time-To-First-Token (TTFT) requirements is crucial for LLM applications. To improve efficiency, modern LLM serving systems adopt disaggregated architectures with…