Author

Yi Li

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Open access Sep 2026

CatKV: Accelerating Position-Independent Caching with Context-Adaptive KV Cache Compression

Context caching is widely adopted to reduce the dominant prefill cost for long prompts across various large language model (LLM) applications. Recently, position-independent caching (PIC) has emerged to improve KV cache reuse beyond strict prefix matching. However, the required KV caches often reside in a persistent re...

Jie-Shou Xu, Ren-Jie Liu, Yi Li et al. · Proceedings of the ACM on Ma... · 0 citations

#artificial intelligence Preprint Sep 2026

Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents

Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive generation on the critical path of memory operations. We introduce \textbf{\method}, a new agentic memory architecture insp...

Dongming Jiang, Yi Li, Bing-Zhe Li · 9 citations · ⚡1

#artificial intelligence Preprint Aug 2026

A Universal Context-Reuse Layer for Cross-Model KV Sharing

Results provide initial evidence that KV states can serve as transferable computational representations rather than strictly model-local caches, and motivate context mobility as a systems abstraction for reducing redundant prefill across heterogeneous LLM and multi-agent inference workflows.

Yi Li, Dongming Jiang, Yi Zhao et al. · 0 citations