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Nathan (auto-discovered)

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01:31
2026-06-27
nathan.rs
large-language-models

KV Caching for dLLMs is Noise Process Agnostic

Diffusion language models (dLLMs) overcome autoregressive limitations by refining entire sequences in parallel from noise, enabling revision of any position and reducing latency. KV caching in dLLMs iโ€ฆ

03:50
2026-06-17
nathan.rs
machine-learning

Can gzip be a language model?

A developer demonstrated that gzip, a standard file compressor, can perform rudimentary language modeling by exploiting the compression-prediction equivalence. Using beam search over byte sequences, gโ€ฆ