11 citations · 15 across the 11 of their papers we have counts for
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cs.AI2026
Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization
Chen Lu, Ke Xue, Siyuan Xu +2
Large language models are increasingly participating in complex real-world tasks in the form of algorithm-design agents, designing and refining algorithms. Many successful algorith…
cs.AI2026
Focus Is All You Need: Adaptive Goal-aware Attention Orchestration for Multi-Agent Graph Systems
Mingzhou Fan, Siyuan Xu, Mingxuan Yuan
Large language models (LLMs) enable autonomous agents for reasoning, planning, and tool use. Recent systems increasingly organize these agents as graphs of specialized, interconnec…
cs.AI2026
Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs
Chen Lu, Ke Xue, Chengrui Gao +5
With the rapid advancement of human science and technology, problems in industrial scenarios are becoming increasingly challenging, bringing significant challenges to traditional a…