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Agentic coding models can achieve near-SOTA performance by specializing in distinct coding domains before unifying them via on-policy distillation.
Generating realistic tabular data with both numbers and free-form text just got easier: TabDLM bridges the gap between diffusion models and LLMs for superior joint modeling.