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Researchers release XYBench, a benchmark of 8,115 questions testing AI responses to misconceptions. Developed with Carnegie Mellon, NVIDIA, and Johns Hopkins, the tool won the Best Resource Paper Award at EMNLP 2026. It evaluates models like GPT-5 and Claude Sonnet 4.6 on identifying when users ask the wrong question.
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