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cs.AI2026
Understanding Human-like Solutions in Combinatorial Optimization via Learning and Search
Haijiang Yan, Jian-Qiao Zhu, Liqiang Huang +1
Humans often find good solutions to combinatorial optimization problems that are computationally hard even for advanced computer algorithms. In the Euclidean traveling salesman pro…
cs.AI2026
Large Language Models Can Take False First Steps at Inference-time Planning
Haijiang Yan, Jian-Qiao Zhu, Adam Sanborn
Large language models (LLMs) have been shown to acquire sequence-level planning abilities during training, yet their planning behavior exhibited at inference time often appears sho…