Log-Depth Recurrent Language Modeling

arXiv:2609.28212 · cs.LG, cs.CL · Submitted 2026-09-23 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Transformer — 39× in this paper · explained in 2 episodes
• Perplexity — 13× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• The Pile: An 800GB Dataset of Diverse Text for Language Modeling
• SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
• Pointer Sentinel Mixture Models
• Length Generalization with Log-Depth Recurrent Units

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