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Chenglin Fan

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization

    2025 · arXiv (Cornell University)

    Generating challenging instances is crucial for the evaluation and advancement of combinatorial optimization solvers. In this work, we introduce EALG (Evolutionary Adversarial Generation of Language Model-Guided Generators), a novel framework that automates the co-evolution of …