Author

Dokyoon Kim

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Open access Sep 2026

Self-supervised plasma proteomic representations for prospective disease prediction across varying protein availability

Large-scale plasma proteomics offers opportunities to characterize disease susceptibility and improve prospective risk prediction, but transferring proteomic predictors across datasets remains challenging because measured protein sets differ across cohorts, study phases and assay configurations. Here we developed a sel...

Yonghyun Nam, Thomas M. Westbrook, J. Woerner et al. · medRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views

Gaps remain in our understanding of how large language models (LLMs) acquire knowledge during pre-training. We posit that auxiliary views, reformulations of knowledge, are causally helpful for learning. We design controlled experiments to isolate this. First, we confirm that repetition is necessary for acquisition and...

Joseph Lee, Yi-Di Huang, Dokyoon Kim et al. · 0 citations

#small language model Open access Aug 2026

CytoGate-Bench: an LLM benchmark for cross-panel cell gating in cytometry

This work introduces CytoGate-Bench, a benchmark that reformulates this per-step procedure as a zero-shot, panel-agnostic task for large language models, and contributes a public benchmark that tests precisely that ability across 11 human cohorts.

Jaesik Kim, Byounghan Lee, Namhyuk Ahn et al. · bioRxiv · 0 citations