Author

Heekyung Lee

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#machine learning Preprint Sep 2026

SANTA++: Sampling Attention through Representative Keys

Attention often concentrates on a small subset of tokens in the context, but which subset matters changes from one query to the next. To exploit this changing structure, we introduce SANTA++, a training-free stochastic attention method that uses representative keys for memory-efficient selection without scanning the en...

Kyle Lee, Christian Z. Pratt, Ruo-Yu Fang et al. · 0 citations

#computer vision Preprint Aug 2026

CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions

Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effective for linguistic tasks, text-only CoT forces models to serialize visual problems into awkward prose. Although architectural solutions exist...

Tsung-Han Wu, Heekyung Lee, An-Ya Ji et al. · 0 citations