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Chenglin Yu

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#artificial intelligence Preprint Oct 2026

Competence-Aware Orchestration for LLM-Based Multi-Agent Systems

LLM-based multi-agent systems (MAS) have emerged as a promising paradigm for enhancing complex reasoning through role specialization and collaboration, yet a key challenge remains: how can collaboration be adapted to a backbone's competence on the current query? This problem matters because more collaboration is not al...

Song-Miao Wang, Yu-Cheng Wang, Cheng-Lin Yu et al. · 0 citations
Jul 2026

The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent Evaluation

AgentFootprint is introduced, a cross-framework benchmark of post-run agent storage footprint that establishes persistent storage as a resource metric to report jointly with accuracy and reconstructability.

Chenglin Yu, Hong-Quan Gui, Ying Yu et al. · 0 citations
Preprint Jul 2026

Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents

Enterprise agents must follow long-horizon, conditional, safety-critical standard operating procedures (SOPs), which are compiled into executable pseudo-code and run with a program-guided stack machine that pages the active frame while an LLM performs semantic execution.

Chenglin Yu, Lichao Yin, Qingxin Fan et al. · 1 citation

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