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Author

Bedionita Soro

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#artificial intelligence Preprint Nov 2026

A Night at the LLM Zoo: Data Conditioned Flow Matching for Generating Pretrained LLM Weights

A challenge to Weight Space Learning as it expands from task specific and vision models to Large Language Models (LLMs) is the absence of a well curated and analyzed LLM population. To address this, we train such a model zoo for application to Weight Space Generation by systematically varying the data mixture compositi...

Scott Biggs, Bedionita Soro, Saumya Gupta et al. · 0 citations
#artificial intelligence Open access Sep 2026

Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts

Layer-wise Distribution Alignment (LDA), a lightweight inference-time correction that uses layer-wise calibration statistics to align reduced-routing representations with the default configuration, is proposed, recovering much of the performance lost induced by the distributional shift under reduced routing while prese...

Dohyeon Kim, Bedionita Soro, Sung Ju Hwang · 1 citation

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