Hugging Face releases StateBench, a long-context state-tracking benchmark
What happened
On 4 November 2026, Hugging Face published StateBench on its blog, a benchmark for evaluating how well language models track changes in entity states across long documents. The benchmark is built around four difficulty levels: R-trivial, Aperiodic, Soluble and General finite. The report did not disclose the number of questions, the range of models evaluated or specific results.
Written by AI from the reports · updated 4 h ago
Timeline
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- Hugging Face BlogStateBench: Testing how language models track state changes over long documents
We’re introducing StateBench, a benchmark for long-context state tracking —how well language models keep track of information about entities in long documents as they evolve.
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