Author

Insu Han

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#machine learning Preprint Sep 2026

LoopSpec: Pipelined Self-Speculative Decoding for Looped Transformers

This work proposes LoopSpec, a training-free self-speculative decoding framework tailored for Looped Transformers that introduces a selective second proposal from deeper recurrent depth while ensuring lossless decoding under both greedy and sampling regimes.

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

Preprint Jul 2026

HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion

Experiments show that HVA establishes a new Pareto frontier for training-free sparse attention in video diffusion, reducing end-to-end latency by up to $2.13\times while improving fidelity over existing training-free sparse attention baselines.

Dongyeun Lee, A. Zandieh, V. Mirrokni et al. · 1 citation