Location-Aware Language Models via Secondary Embeddings

arXiv:2609.00454 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Embeddings — 23× in this paper · explained in 2 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Tokenization — 5× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• Mixtral of Experts
• Mistral 7B
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

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