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Dong-Su Han

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#machine learning Preprint Sep 2026

LoopSpec: Pipelined Self-Speculative Decoding for Looped Transformers

Looped Transformers achieve strong performance with compact parameter sizes by repeatedly applying a shared stack of Transformer blocks across recurrent depths. However, they incur higher decoding latency than standard Transformer models of comparable parameter size because shared weights are accessed at every recurren...

SangLyul Cho, Lang-Qing Cui, Sehoon Kim et al. · 1 citation
Jul 2026

Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research

A composable, domain-specific backend, Pramana, shaped as a thin waist, with diverse research intents at the top and disparate execution substrates at the bottom is envisioned, and Pramana's utility is demonstrated by building a first-of-its-kind corpus of 255 data-generation intents mined from 66 published papers.

Jaber Daneshamooz, Eugene Vuong, A. Ramanathan et al. · 0 citations

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