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Gary Marcus

  1. Deep Learning: A Critical Appraisal
    2018/01/02 by Gary Marcus, Marcus, Gary · 13 voices · 48 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #cs.AI #cs.LG #stat.ML
  2. The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
    2020/02/14 by Gary Marcus, Marcus, Gary · 9 voices · 45 citations
    Computer Science · #cs.AI #cs.LG
  3. A Definition of AGI
    2025/10/21 by Dan Hendrycks, Hendrycks, Dan, Dawn Song +65 · 28 voices · 10 citations
    Psychology · Computer Science · #Cognitive Abilities and Testing #Computability, Logic, AI Algorithms #Cognitive Computing and Networks
  4. Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
    2023/07/31 by Doug Lenat, Gary Marcus, Lenat, Doug +1 · 9 voices · 1 citation
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.AI #cs.LG
  5. A very preliminary analysis of DALL-E 2
    2022/04/25 by Gary Marcus, Ernest Davis, Marcus, Gary +3 · 1 voice · 8 citations
    Computer Science · #Handwritten Text Recognition Techniques #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #cs.AI #cs.CV
  6. Innateness, AlphaZero, and Artificial Intelligence
    2018/01/17 by Gary Marcus, Marcus, Gary · 5 voices · 4 citations
    Computer Science · Engineering · #97R40 #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #I.2.0 #I.2.6 #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #cs.AI
  7. How malicious AI swarms can threaten democracy
    2025/05/18 by Daniel Thilo Schroeder, Schroeder, Daniel Thilo, Meeyoung Cha +46 · 10 voices · 13 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Network Security and Intrusion Detection
  8. DALL-E 2 Fails to Reliably Capture Common Syntactic Processes
    2022/10/23 by Evelina Leivada, Elliot Murphy, Leivada, Evelina +3 · 2 voices · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CL #cs.CV
  9. Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
    2023/02/23 by Vittoria Dentella, Dentella, Vittoria, Elliot Murphy +6 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  10. A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Hum4n L4ngu4ge and the W0rld behind W0rds?
    2023/07/26 by Evelina Leivada, Gary Marcus, Leivada, Evelina +4 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  11. A Review of Winograd Schema Challenge Datasets and Approaches
    2020/04/23 by Vid Kocijan, Kocijan, Vid, Thomas Lukasiewicz +7 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  12. The Defeat of the Winograd Schema Challenge
    2022/01/07 by Vid Kocijan, Ernest Davis, Kocijan, Vid +7 · 2 citations
    Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
  13. Fundamental Principles of Linguistic Structure are Not Represented by o3
    2025/02/15 by Elliot Murphy, Evelina Leivada, Murphy, Elliot +7 · 2 voices · 1 citation
    #cs.CL