Toppling the Hierarchy in Byte-level Language Modeling

arXiv:2609.00463 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/Leukas/TopplingHierarchy

Terminology

• Transformer — 16× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Empirical Methods in Natural Language Processing — 2× in this paper
• Hybrid Models — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• PIQA: Reasoning about Physical Commonsense in Natural Language
• Measuring Massive Multitask Language Understanding
• Bolmo: Byteifying the Next Generation of Language Models

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