Long-term multi-agent systems continuously accumulate the memories produced by different agents. Existing memory methods typically treat retrieved memories as independent evidence and combine them through voting or weighting. However, this independence assumption often fails in multi-agent settings: memories written by...
Chen-Chen Lin, Wen-Hao Yuan, Xuehe Wang et al.· 2 citations
This paper proposes Dude, the first Dual-Detection Multi-Agent System for paper-code discrepancy detection, with a granularity-aligned negotiation and a two-stage salience-filtering mechanism in Dude that effectively prevents agents from falsely reporting discrepancies.
Wei-Jie Liu, Running Zhao, Wen-Hao Yuan et al.· 0 citations
A client-specific adaptation channel based on private prompt tokens, which tracks local adaptation dynamics separately from the shared backbone and provides a lightweight signal for detecting whether client adaptation remains active, and a shallow sufficiency estimator that combines cross-client semantic alignment, tem...
Wen-Hao Yuan, Chen-Chen Lin, Wentao Hu et al.· 0 citations
Results show that DEFRAG narrows the SLM-LLM accuracy gap, while reducing cost by up to 98.4% and increasing peak throughput by up to 97.8% over centralized services, demonstrating the potential of DEFRAG for democratized LLM services at the edge.
Jiaxing Li, Heng-Zhi Wang, Feng Wang et al.· IEEE Transactions on Mobile...· 0 citations
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