The Impossibility Triangle of Long-Context Modeling

TL;DR

A fundamental trade-off in long-sequence models is identified, proving that no model can achieve efficiency, compactness, and recall simultaneously. This research classifies existing architectures and demonstrates that all fall short of optimal recall capacity.

Key Takeaways

• Assess your model's efficiency, compactness, and recall capabilities.
• Consider hybrid architectures for better performance within trade-offs.
• Use the classification of architectures to inform design choices.
• Test empirical recall capacities against theoretical limits.