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tokenizers v1: encode, decode and scaling, measured

tokenizers v1: encode, decode and scaling, measured As models become faster and workloads scale, that balance begins to shift. Training on massive datasets, serving many concurrent requests, or repeat

๐Ÿ“… 2026-09-21 | ๐Ÿ“ฐ Hugging Face Blog
#ai-news #tokenizers #encode

CaLR: Causal Latent Revision for Robust Diffusion Reasoning

arXiv:2609.20981v1 Announce Type: new Abstract: Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reas

๐Ÿ“… 2026-09-21 | ๐Ÿ“ฐ arXiv - AI Research Papers
#ai-news #calr #causal

Attention-Aware Routing: Coupling Routing and Attention in MoEs

arXiv:2609.20974v1 Announce Type: new Abstract: In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual

๐Ÿ“… 2026-09-21 | ๐Ÿ“ฐ arXiv - AI Research Papers
#ai-news #attention-aware #routing