Why Attend to Everything? Focus is the Key

📰 ArXiv cs.AI

Focus, a method that learns which token pairs matter, improves domain perplexity with zero degradation on downstream benchmarks

advanced Published 7 Apr 2026
Action Steps
  1. Identify token pairs that matter using learnable centroids
  2. Assign tokens to groups based on centroids
  3. Restrict distant attention to same-group pairs
  4. Operate local attention at full resolution
Who Needs to Know This

NLP researchers and AI engineers on a team can benefit from Focus as it allows for more efficient attention mechanisms, while product managers can consider its applications in improving language models

Key Insight

💡 Learning to focus on relevant token pairs can improve model efficiency without degrading performance

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💡 Focus: learn which token pairs matter, not all of them
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