Author

Liang Zhao

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Preprint Jun 2026

AlgoBench: Benchmarking Algorithmic Adaptation in Code Generation

AlGOBENCH is introduced, a framework that automatically builds novel algorithmic problems from known competitive-programming problems through structured constraint-shifting transformations and error analysis shows that failures are mainly algorithmic rather than implementation-level, suggesting that ALGOBENCH evaluates adaptation beyond functional correctness.

Xinyuan Song, Z. Cai, Liang Zhao · 0 citations

Jun 2026

AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills

Experiments on competitive programming and combinatorial optimization benchmarks show that AlgoSkill improves over direct LLM generation, chain-of-thought prompting, self-refinement, and MCTS without typed skills, which support treating automatic algorithm design as verification-guided skill scheduling rather than one-shot code generation.

Xinyuan Song, Z. Cai, Liang Zhao · arXiv.org · 1 citation