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Title:          Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias
Subject:        Proc. Natl. Acad. Sci. U.S.A. 2023.120:e2309583120
Author:         
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      Title: Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias
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       Item: 
        Title: Significance
       Item: 
        Title: Grammaticality Judgments
       Item: 
        Title: Materials and Methods
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         Item: 
          Title: Sentence Material.
         Item: 
          Title: LMs.
         Item: 
          Title: Human Data.
       Item: 
        Title: Results
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         Item: 
          Title: Accuracy.
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           Item: 
            Title: Accuracy by model and condition.
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             Item: 
              Title: Differences between grammatical phenomena.
           Item: 
            Title: Stability.
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             Item: 
              Title: Stability by model and condition.
           Item: 
            Title: The Interplay between Stability and Accuracy.
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             Item: 
              Title: Does the lack of accuracy follow from the lack of stability?
           Item: 
            Title: Does accuracy improve over repetitions?
           Item: 
            Title: Does stability improve over repetitions?
           Item: 
            Title: Comparisons with Human Data.
            Children: 
             Item: 
              Title: Accuracy.
              Children: 
               Item: 
                Title: Stability.
               Item: 
                Title: Does accuracy improve over repetitions?
               Item: 
                Title: Does stability improve over repetitions?
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        Title: Discussion
       Item: 
        Title: Data, Materials, and Software Availability
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        Title: ACKNOWLEDGMENTS
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        Title: Supporting Information
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