Author

Uiwon Hwang

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Preprint Oct 2026

CatchUp: Depth-Aware Re-Admission of Visual Tokens for Efficient Large Vision-Language Models

Large Vision-Language Models (LVLMs) repeatedly process hundreds of visual tokens across decoder layers, incurring substantial computation and memory costs. Existing visual-token reduction methods often irreversibly discard tokens despite depth-varying query relevance. Although recoverable routing allows excluded token...

Eun-Ju Park, Uiwon Hwang · 0 citations

Preprint Oct 2026

Certified Adaptive List Decoding for Error-Correcting Codes

Maximum-likelihood (ML) decoding of linear block codes is NP-hard, so neural decoders are evaluated by how closely they approach it. We observe that proving a candidate optimal can be far easier than finding it, and build a decoder that does both. We cast decoding as a search over an absorbing-state discrete diffusion...

J. Hwang, Byung-Sun Won, Uiwon Hwang · 0 citations

Open access Aug 2026

AdaGeneBudget: Cell-Adaptive Gene-Token Allocation for Efficient Single-Cell Foundation Models

AdaGeneBudget is introduced, a training-free gene-token selection method that combines each gene’s expression with reference-derived inverse detection frequency and retains the shortest ranked prefix that captures a target fraction of the cell’s expression-specificity score mass, which establishes biologically informed...

Dohee Kim, Uiwon Hwang · bioRxiv · 0 citations