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cs.CL2025
CentroidKV: Efficient Long-Context LLM Inference via KV Cache Clustering
Jie Hu, Shengnan Wang, Yutong He +8
Large language models (LLMs) with extended context windows have become increasingly prevalent for tackling complex tasks. However, the substantial Key-Value (KV) cache required for…
cs.CL2024
XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
Shengnan Wang, Youhui Bai, Lin Zhang +7
Length generalization failure problem, namely the large language model (LLM) fails to generalize to texts longer than its maximum training length, greatly restricts the application…