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University of Illinois Urbana-Champaign
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Stop struggling with ad-hoc codebases: dLLM offers a unified, open-source framework to reproduce, fine-tune, and build diffusion language models, even from BERT-style encoders.
Federated learning with LLMs for recommendation can be improved by sharing directional update components and learning personalized integration weights, outperforming naive aggregation.
