AI RESEARCH
Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis
arXiv CS.AI
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ArXi:2605.17539v2 Announce Type: replace Combinatorial optimization (CO) underlies decision-making from logistics to chip design, where infeasible solutions are operationally unusable and small quality gains translate into substantial economic value. Recent work uses large language models (LLMs) to automate solver synthesis: generating executable solver programs from natural-language specifications. However, existing tree-search and evolutionary agents refine candidate trajectories in parallel without explicit knowledge transfer, re