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Python overfitting in LLMs is just the tip of the iceberg鈥擬ulti-LCB reveals substantial performance disparities across twelve programming languages.
LoRA fine-tuning just got a memory-efficient upgrade: LoRSum matches or beats standard LoRA performance by reformulating optimization as a proximal problem and using diagonal K-FAC approximations, all without expensive SVD.