LLMs Lost in Transmission: Why Global Reasoning Fails
A new paper reveals transformer LLMs struggle with complex global reasoning due to limited 'effective bandwidth,' solvable by Chain of Thought.
Feb 23 at 3:54 PM3 min read
Key Takeaways
- 1Transformer LLMs struggle with global reasoning over long inputs due to limited 'effective bandwidth' for information transfer.
- 2The Bounded Attention Prefix Oracle (BAPO) model predicts which tasks LLMs fail at and proves Chain of Thought (CoT) as the solution.
- 3Scaling models won't fix this fundamental architectural bottleneck; CoT breaks complex problems into manageable, low-bandwidth steps.
