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Schulz, Eric

  1. Inducing anxiety in large language models increases exploration and bias
    2023/04/21 by Julian Coda-Forno, Kristin Witte, Coda-Forno, Julian +9 · 10 voices · 7 citations
    Computer Science · Psychology · #Machine Learning in Healthcare #Mental Health via Writing #Topic Modeling #cs.AI #cs.CL #cs.LG
  2. Visual cognition in multimodal large language models
    2023/11/27 by Luca M. Schulze Buschoff, Buschoff, Luca M. Schulze, Elif Akata +5 · 2 voices · 19 citations
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Reinforcement Learning in Robotics #cs.LG
  3. Machine Psychology
    2023/03/24 by Thilo Hagendorff, Hagendorff, Thilo, Ishita Dasgupta +13 · 4 voices · 12 citations
    Computer Science · #Topic Modeling
  4. Meta-in-context learning in large language models
    2023/05/22 by Julian Coda-Forno, Coda-Forno, Julian, Marcel Binz +9 · 1 voice · 9 citations
    Computer Science · #cs.CL #cs.AI #cs.LG
  5. Centaur: a foundation model of human cognition
    2024/10/26 by Marcel Binz, Elif Akata, Binz, Marcel +84 · 3 voices · 16 citations
    Neuroscience · #Cognitive Science and Education Research
  6. In-Context Impersonation Reveals Large Language Models' Strengths and Biases
    2023/05/24 by Leonard Salewski, Salewski, Leonard, Stephan Alaniz +7 · 15 citations
    Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language Development and Disorders #Language and cultural evolution #Machine Learning (cs.LG) #Topic Modeling
  7. CogBench: a large language model walks into a psychology lab
    2024/02/28 by Julian Coda-Forno, Marcel Binz, Coda-Forno, Julian +5 · 12 citations
    Computer Science · Psychology · Social Sciences · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Educational Tools and Methods #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG)
  8. Turning large language models into cognitive models
    2023/06/06 by Marcel Binz, Eric Schulz, Binz, Marcel +1 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  9. Evaluating alignment between humans and neural network representations in image-based learning tasks
    2023/06/15 by Can Demircan, Demircan, Can, Tankred Saanum +16 · 2 voices · 4 citations
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CV #cs.LG
  10. Generating Computational Cognitive Models using Large Language Models
    2025/02/02 by Milena Rmus, Akshay K. Jagadish, Rmus, Milena +7 · 2 voices · 5 citations
    Computer Science · #Topic Modeling
  11. metabench - Paper Data
    2024/07/04 by Alex Kipnis, Kipnis, Alex, Konstantinos Voudouris +5 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  12. Modeling Human Exploration Through Resource-Rational Reinforcement Learning
    2022/01/27 by Marcel Binz, Binz, Marcel, Eric Schulz +1 · 4 citations
    Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  13. Reinforcement Learning with Simple Sequence Priors
    2023/05/26 by Tankred Saanum, Noémi Éltető, Saanum, Tankred +7 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  14. In-context learning agents are asymmetric belief updaters
    2024/02/06 by Johannes A. Schubert, Akshay K. Jagadish, Schubert, Johannes A. +5 · 1 voice · 4 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Data Stream Mining Techniques #Machine Learning and Algorithms #cs.LG
  15. Meta-Learned Models of Cognition
    2023/04/12 by Marcel Binz, Ishita Dasgupta, Binz, Marcel +9 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  16. How should the advent of large language models affect the practice of science?
    2023/12/05 by Marcel Binz, Binz, Marcel, Stephan Alaniz +33 · 2 voices · 1 citation
    #cs.CL #cs.AI #cs.CY #cs.DL
  17. Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
    2024/10/02 by Can Demircan, Demircan, Can, Tankred Saanum +7 · 3 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  18. Simplifying Latent Dynamics with Softly State-Invariant World Models
    2024/01/31 by Saanum, Tankred, Dayan, Peter, Schulz, Eric · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Next state prediction gives rise to entangled, yet compositional representations of objects
    2024/10/07 by Tankred Saanum, Saanum, Tankred, Luca M. Schulze Buschoff +5 · 1 citation
    Computer Science · #Data Visualization and Analytics
  20. Exploring System 1 and 2 communication for latent reasoning in LLMs
    2025/10/01 by Julian Coda-Forno, Zhuokai Zhao, Coda-Forno, Julian +15 · 2 citations
    Computer Science · Business, Management and Accounting · #Semantic Web and Ontologies #Business Process Modeling and Analysis #Multi-Agent Systems and Negotiation