Trained directly on StateBench, hybrids and Gated DeltaNet ace state tracking where transformers fail

allen_ai · x · 2026-11-04

To test whether failures came from architecture or pretraining, Allen AI trained LLMs directly on StateBench and evaluated on longer inputs. Hybrids and Gated DeltaNets were near-perfect on the first 3 levels, while transformers degraded with length and couldn't solve general finite—pointing to architecture, not data, as the bottleneck.

Related event: Ai2's StateBench: Frontier Models Drop Below 13% on Long-Context State Tracking(17 posts)→

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