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Aesthetic code generation is unlocked by using a VLM judge to translate visual design principles from a reference image into actionable rewards for code models.
ModalShare reallocates bandwidth based on each modality's contribution, boosting accuracy by over 15 percentage points compared to traditional equal keep-ratios.
A unified foundation model can now handle diverse RAN analytics tasks like anomaly detection and forecasting with state-of-the-art performance, eliminating the need for fragmented, task-specific models.