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MichiganNLP · Nov 1, 2023 · efc40a4 · efc40a4
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       Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning
       in Large Language Models
     </title>
+    <link rel="shortcut icon" href="img/lit-logo.png" />
     <meta
       name="description"
       content="Many NLP benchmarks exhibit inherent disagreements. Rather than aggregating labels, we train models directly on datasets with these disagreements. We introduce embedding-based techniques to enhance model performance on such data."