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Frank, Robert

  1. Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity
    2022/04/13 by Yiding Hao, Dana Angluin, Hao, Yiding +3 · 15 citations
    Engineering · #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing #Semiconductor materials and devices
  2. Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks
    2018/02/25 by R. Thomas McCoy, Robert Frank, McCoy, R. Thomas +3 · 6 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  3. Does syntax need to grow on trees? Sources of hierarchical inductive\n bias in sequence-to-sequence networks
    2020/01/10 by R. Thomas McCoy, Robert Frank, McCoy, R. Thomas +3 · 5 citations
    Computer Science · Neuroscience · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural Networks and Applications #Neurobiology of Language and Bilingualism
  4. How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech
    2023/01/26 by Aditya Yedetore, Tal Linzen, Yedetore, Aditya +5 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #J.4 #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  5. Open Sesame: Getting Inside BERT's Linguistic Knowledge
    2019/06/04 by Yongjie Lin, Lin, Yongjie, Yi Chern Tan +3 · 5 citations
    Neuroscience · Computer Science · Psychology · #Neurobiology of Language and Bilingualism #Natural Language Processing Techniques #Language, Metaphor, and Cognition
  6. Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
    2020/09/08 by Yiding Hao, Hao, Yiding, Simon Mendelsohn +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Text Readability and Simplification #Topic Modeling
  7. Do Language Models Learn Position-Role Mappings?
    2022/02/08 by Petty, Jackson, Wilson, Michael, Frank, Robert · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  8. Transformers Generalize Linearly
    2021/09/24 by Petty, Jackson, Frank, Robert · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  9. Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models
    2022/03/17 by Aaron Mueller, Mueller, Aaron, Robert Frank +7 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  10. False perspectives on human language: why statistics needs linguistics
    2023/02/17 by Matteo Greco, Andrea Cometa, Greco, Matteo +7 · 1 citation
    Computer Science · Social Sciences · #Natural Language Processing Techniques #Language and cultural evolution
  11. How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure
    2023/11/08 by Michael Wilson, Jackson Petty, Wilson, Michael +3 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Natural Language Processing Techniques #Topic Modeling
  12. The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping
    2025/08/17 by Xiaomeng Zhu, Zhu, Xiaomeng, R. Thomas McCoy +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling