Benjamin K. Bergen

1. Large Language Models Pass the Turing Test
   2025/03/31 by Cameron R. Jones, Jones, Cameron R., Benjamin K. Bergen +1 · 73 voices · 24 citations
   Computer Science · Social Sciences · Medicine · #AI in Service Interactions #Language and cultural evolution #Artificial Intelligence in Healthcare and Education
2. Does GPT-4 pass the Turing test?
   2023/10/31 by Cameron R. Jones, Benjamin K. Bergen, Jones, Cameron R. +1 · 2 voices · 9 citations
   #cs.AI #cs.CL
3. People cannot distinguish GPT-4 from a human in a Turing test
   2024/05/09 by Cameron R. Jones, Jones, Cameron R., Benjamin K. Bergen +1 · 9 voices · 10 citations
   Computer Science · #Computability, Logic, AI Algorithms #cs.AI #cs.HC
4. GPT-4 is judged more human than humans in displaced and inverted Turing tests
   2024/07/11 by Ishika Rathi, Rathi, Ishika, Sydney Taylor +5 · 7 voices · 2 citations
   Engineering · #Ferroelectric and Negative Capacitance Devices
5. Why do language models perform worse for morphologically complex languages?
   2024/11/21 by Catherine Arnett, Benjamin K. Bergen, Arnett, Catherine +1 · 1 voice · 18 citations
   Computer Science · #cs.CL
6. Language Model Behavior: A Comprehensive Survey
   2024/01/01 by Tyler A. Chang, Benjamin K. Bergen · 14 citations
7. The Geometry of Multilingual Language Model Representations
   2022/05/22 by Tyler A. Chang, Zhuowen Tu, Chang, Tyler A. +3 · 7 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
8. Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability
   2023/08/29 by Tyler A. Chang, Zhuowen Tu, Chang, Tyler A. +3 · 9 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
9. When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
   2023/11/15 by Tyler A. Chang, Chang, Tyler A., Catherine Arnett +5 · 8 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
10. Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models
    2023/11/15 by James A. Michaelov, Michaelov, James A., Catherine Arnett +5 · 1 voice · 2 citations
    Neuroscience · Psychology · Arts and Humanities · #cs.CL
11. Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
    2024/12/22 by Cameron R. Jones, Jones, Cameron R., Benjamin K. Bergen +1 · 2 voices · 3 citations
    Computer Science · #Hate Speech and Cyberbullying Detection
12. On the Acquisition of Shared Grammatical Representations in Bilingual Language Models
    2025/03/05 by Catherine Arnett, Tyler A. Chang, Arnett, Catherine +5 · 2 voices · 3 citations
    Computer Science · Neuroscience · Psychology · #Categorization, perception, and language #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language Development and Disorders #Neurobiology of Language and Bilingualism #cs.CL
13. A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages
    2024/03/01 by Catherine Arnett, Arnett, Catherine, Tyler A. Chang +3 · 3 citations
    Social Sciences · #Computational and Text Analysis Methods
14. Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
    2025/04/21 by Tyler A. Chang, Benjamin K. Bergen, Chang, Tyler A. +1 · 4 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning in Healthcare
15. Can Peanuts Fall in Love with Distributional Semantics?
    2023/01/20 by James A. Michaelov, Seana Coulson, Michaelov, James A. +3 · 2 citations
    Computer Science · Social Sciences · #Natural Language Processing Techniques #Speech and dialogue systems #Language and cultural evolution
16. Dissecting the Ullman Variations with a SCALPEL: Why do LLMs fail at Trivial Alterations to the False Belief Task?
    2024/06/20 by Zhiqiang Pi, Annapurna Vadaparty, Pi, Zhiqiang +5 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
17. Emergent inabilities? Inverse scaling over the course of pretraining
    2023/05/24 by James A. Michaelov, Benjamin K. Bergen · 1 voice · 1 citation
    Computer Science · #cs.CL
18. Goldfish: Monolingual Language Models for 350 Languages
    2024/08/19 by Tyler A. Chang, Catherine Arnett, Chang, Tyler A. +5 · 1 voice · 2 citations
    #cs.CL
19. Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
    2025/10/28 by James A. Michaelov, Roger P. Levy, Michaelov, James A. +3 · 1 voice · 2 citations
    #cs.CL
20. Revenge of the Fallen? Recurrent Models Match Transformers at Predicting Human Language Comprehension Metrics
    2024/04/30 by James A. Michaelov, Michaelov, James A., Catherine Arnett +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
21. Do Large Language Models Exhibit Spontaneous Rational Deception?
    2025/03/31 by Benjamin K. Bergen, Taylor, Samuel M., Bergen, Benjamin K. · 2 citations
    Computer Science · Medicine · Social Sciences · #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education #Language and cultural evolution
22. Explaining and Mitigating Crosslingual Tokenizer Inequities
    2025/10/24 by Catherine Arnett, Tyler A. Chang, Arnett, Catherine +5 · 1 voice · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL