TreeCoder improves LLM code generation accuracy by representing decoding as an optimizable tree search over programs with first-class constraints for syntax, style, and execution, outperforming baselines on MBPP and SQL-Spider.
arXiv preprint arXiv:2505.07425 (2025)
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Guided LLM strategies with custom datasets and execution-based verification enable functional APL-to-C# translation across a range of program complexities.
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TreeCoder: Systematic Exploration and Optimisation of Decoding and Constraints for LLM Code Generation
TreeCoder improves LLM code generation accuracy by representing decoding as an optimizable tree search over programs with first-class constraints for syntax, style, and execution, outperforming baselines on MBPP and SQL-Spider.
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Neural Code Translation of Legacy Code: APL to C#
Guided LLM strategies with custom datasets and execution-based verification enable functional APL-to-C# translation across a range of program complexities.