AIBullisharXiv – CS AI · Apr 106/10
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FLeX: Fourier-based Low-rank EXpansion for multilingual transfer
Researchers propose FLeX, a parameter-efficient fine-tuning approach combining LoRA, advanced optimizers, and Fourier-based regularization to enable cross-lingual code generation across programming languages. The method achieves 42.1% pass@1 on Java tasks compared to a 34.2% baseline, demonstrating significant improvements in multilingual transfer without full model retraining.
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