Sean McLeish

Latent sphere autoencoders can now generate sharp, high-fidelity images by overcoming equatorial bias and averaging artifacts with a novel training regimen.

LCLMs redefine the efficiency of long-context inference, achieving superior compression without sacrificing model quality.

LLMs can leverage "sleep" to distill long contexts into fast weights, unlocking superior reasoning without sacrificing inference latency.