StateBench: Testing how language models track state changes over long documents

TL;DR

StateBench is a new benchmark designed to evaluate how well language models track state changes in long documents. It reveals that recurrent and hybrid models outperform transformers in generalizing state tracking tasks, especially as complexity increases.

Key Takeaways

• Utilize StateBench to benchmark your language models' state-tracking abilities.
• Focus on training hybrid models for better performance on complex tasks.
• Understand the four levels of state-tracking complexity for effective model evaluation.
• Explore Gated DeltaNet architectures for improved handling of long-context dependencies.