Author

Hong Li

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#artificial intelligence Review Sep 2026

RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models

Auto-research agents, LLM systems that propose, implement, train, and evaluate model changes across iterations, promise to automate applied ML's experimental loop. Over long horizons, execution accuracy is a binding constraint: a change can silently leak held-out data, omit normalization, disconnect a gradient, or leav...

Zheng-Yu Chen, Lin-Feng Liu, Hong Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

Recent multi-agent LLM systems increasingly rely on graph-structured communication to coordinate specialized agents. We revisit multi-agent orchestration from a graph-engineering perspective: rather than optimizing a static topology, we synthesize a task-conditioned temporal workflow graph that jointly specifies agent...

Katherine Tieu, Dong-Qi Fu, Ying-Long Xia et al. · 1 citation · ⚡1