AI RESEARCH
FLeX: Fourier-based Low-rank EXpansion for multilingual transfer
arXiv CS.LG
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ArXi:2604.06253v1 Announce Type: new Cross-lingual code generation is critical in enterprise environments where multiple programming languages coexist. However, fine-tuning large language models (LLMs) individually for each language is computationally prohibitive. This paper investigates whether parameter-efficient fine-tuning methods and optimizer enhancements can improve cross-lingual transfer from Python to languages like Java.