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Patrick Pynadath

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#machine learning Preprint Sep 2026

SEED: Self-Speculative Decoding via Implicit Encoder-Decoder

Self-speculative decoding accelerates large language model (LLM) inference by drafting tokens from the target model itself, but faces a sharp tradeoff between the quality and cost of the draft. Early-exit methods produce drafts cheaply by terminating computation at intermediate layers, but forgo the deeper representati...

Han-Kun Lin, Patrick Pynadath, Ruqi Zhang · 0 citations
#natural language process... Preprint Aug 2026

Simplex Relaxation for Discrete Diffusion

Simplax is introduced, an exact Dirichlet--categorical augmentation that couples each corrupted categorical state with an auxiliary simplex-valued variable while preserving the original uniform diffusion process as its categorical marginal.

Jinya Sakurai, Patrick Pynadath, Satoshi Hayakawa et al. · 1 citation

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