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DriftBench is a benchmark for measuring whether large language models maintain fidelity to structured research briefs across multiple turns of iterative pressure. The dataset, created by 'driftbench', was last updated on April 25, 2026. It reveals a recall-adherence dissociation where models can restate constraints they simultaneously violate.
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