FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code Generation 事件

FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code Generation arXiv:2605.27849v1 Announce Type: cross Abstract: Despite rapid progress in LLM-based code generation, existing models are predominantly trained on imperative languages, leaving functional programming languages (FPLs) such as Haskell, OCaml, and Scala chronically underexplored, with even frontier models performing substantially worse on FPLs. Fine-tuning is a natural remedy, but our experiments show that per-language fine