arXiv Machine Learning By Hyesung Jeon, Hyeongju Ha, Jae-Joon Kim

LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents

Read the original on arXiv Machine Learning →

arXiv:2602. 01053v2 Announce Type: replace Abstract: Role specialization in multi-LLM agent systems is often realized via multi-LoRA, where agents share a pretrained backbone and differ only by lightweight adapters.

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arXiv AI
Jul 24

Workload-Aware Caching for Multi-Agent Systems

arXiv:2607. 20495v1 Announce Type: new Abstract: Multi-agent systems decompose complex tasks into directed acyclic graphs (DAGs) of specialized agent executions, creating natural opportunities for caching intermediate results across queries.

By Anas Mohamed, Kaizan Haque, Azal Ahmad Khan, Chetan Sharma, Shuwen Ge, Ali Anwar