Allen AI releases StateBench, a long-document state tracking benchmark
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On November 4, 2026, Allen AI released StateBench on the Hugging Face Blog, a benchmark for evaluating language models' state tracking capability in long contexts. The benchmark divides tasks into four difficulty tiers: r-trivial, aperiodic, soluble, and general finite. Reports say the benchmark aims to test language models' ability to track states in long documents. There is only this one report so far, with no public information on other institutions' evaluation results or follow-up responses.
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- Hugging Face BlogStateBench: Testing how language models track state changes over long documents
Allen AI introduced StateBench on Hugging Face, a benchmark for evaluating language models' long-context state tracking ability, with difficulty levels r-trivial, aperiodic, soluble, and general finite.
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