Author

Shengzhong Liu

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#artificial intelligence Preprint Sep 2026

TROVE: Adaptive Agent Skill Orchestration via Trace-Grounded Route Validation and Editing

Agents tend to optimize, select, or constrain execution structures before decisive runtime outcomes are observed. However, such pre-execution commitment creates an orchestration bottleneck: when intermediate evidence invalidates the pending continuation, agents must either execute stale steps or replan broadly, compoun...

Tian-Xing Wang, Ming-Ming Zhao, Shuai Huang et al. · 1 citation

Book Open access Jul 2026

C2KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference

C2KV is proposed, a unified framework for non-prefix KV reuse that jointly optimizes KV cache compression and concatenation that significantly reduces KV cache storage and transfer costs.

Chuheng Du, Jun-Yi Chen, Hanlin Tang et al. · Proceedings of the 32nd ACM... · 2 citations

Jul 2026

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs

Gleam is a novel and network-efficient framework for task-generic GPU sharing across local-area CUDA devices, with three key contributions that reduce bandwidth overhead in CUDA API remoting through automatic model weight caching, and mitigate accumulated latency from frequent API calls by asynchronous execution.

Zhihao Xu, Hao Zhong, Zeting Zhou et al. · arXiv.org · 0 citations