Griffiths, Thomas L.
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
2023/05/17 by Shunyu Yao, Dian Yu, Yao, Shunyu +11 · 8 voices · 735 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
2024/10/27 by Ryan Liu, Jiayi Geng, Liu, Ryan +10 · 7 voices · 41 citations
Decision Sciences · Computer Science · #Complex Systems and Decision Making #Cognitive Science and Mapping
- Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
2023/09/24 by R. Thomas McCoy, Shunyu Yao, McCoy, R. Thomas +7 · 13 voices · 24 citations
Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL
- Cognitive Architectures for Language Agents
2023/09/05 by Theodore R. Sumers, Shunyu Yao, Sumers, Theodore R. +5 · 4 voices · 80 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Language and cultural evolution
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Sucholutsky, Ilia, Lukas Muttenthaler +66 · 10 voices · 35 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Are Convolutional Neural Networks or Transformers more like human vision?
2021/05/15 by Shikhar Tuli, Tuli, Shikhar, Ishita Dasgupta +5 · 2 voices · 9 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Visual Attention and Saliency Detection #cs.CV
- On the Utility of Learning about Humans for Human-AI Coordination
2019/10/13 by Micah Carroll, Carroll, Micah, Rohin Shah +11 · 56 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Agent Systems and Negotiation #Reinforcement Learning in Robotics
- Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models
2025/07/10 by K.S. Liang, Kaiqu Liang, Haimin Hu +10 · 15 voices · 2 citations
Social Sciences · Computer Science · #Misinformation and Its Impacts #Hate Speech and Cyberbullying Detection #Computational and Text Analysis Methods
- Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
2023/05/24 by R. Thomas McCoy, McCoy, R. Thomas, Thomas L. Griffiths +1 · 2 voices · 8 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Neural Networks and Applications
- Human uncertainty makes classification more robust
2019/08/19 by Peterson, Joshua C., Battleday, Ruairidh M., Griffiths, Thomas L. +1 · 19 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
2024/10/02 by R. Thomas McCoy, McCoy, R. Thomas, Shunyu Yao +7 · 6 voices · 6 citations
Computer Science · #Semantic Web and Ontologies #Natural Language Processing Techniques
- Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
2024/10/31 by Declan Campbell, Sunayana Rane, Campbell, Declan +21 · 4 voices · 19 citations
Psychology · Arts and Humanities · #Language, Metaphor, and Cognition #linguistics and terminology studies #Categorization, perception, and language
- 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
- Building Machines that Learn and Think with People
2024/07/22 by Katherine M. Collins, Collins, Katherine M., Ilia Sucholutsky +23 · 24 citations
Computer Science · Social Sciences · #AI in Service Interactions #Ethics and Social Impacts of AI
- VideoGameBench: Can Vision-Language Models complete popular video games?
2025/05/23 by Alex L. Zhang, Zhang, Alex L., Thomas L. Griffiths +5 · 3 voices · 7 citations
#cs.AI #cs.CL #cs.CV
- Embodied LLM Agents Learn to Cooperate in Organized Teams
2024/03/19 by Xudong Guo, Guo, Xudong, Kaixuan Huang +15 · 15 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Multiagent Systems (cs.MA)
- Large Language Models Assume People are More Rational than We Really are
2024/06/24 by Ryan Liu, Jiayi Geng, Liu, Ryan +7 · 2 voices · 10 citations
#cs.CL #cs.AI #cs.CY #cs.LG
- Understanding Human Intelligence through Human Limitations
2020/09/29 by Thomas L. Griffiths, Griffiths, Thomas L. · 1 voice · 6 citations
#cs.AI #cs.LG
- Measuring Implicit Bias in Explicitly Unbiased Large Language Models
2024/02/06 by Xuechunzi Bai, Bai, Xuechunzi, Angelina Wang +5 · 11 citations
Computer Science · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Natural Language Processing Techniques
- From partners to populations: A hierarchical Bayesian account of coordination and convention
2021/04/12 by Robert D. Hawkins, Michael Franke, Hawkins, Robert D. +12 · 1 voice · 5 citations
Computer Science · Social Sciences · #Language and cultural evolution #Natural Language Processing Techniques #Speech and dialogue systems #cs.AI #cs.CL
- Automatically Composing Representation Transformations as a Means for Generalization
2018/07/12 by Michael B. Chang, Abhishek Gupta, Chang, Michael B. +5 · 6 citations
Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #AI-based Problem Solving and Planning
- MacGyver: Are Large Language Models Creative Problem Solvers?
2023/11/16 by Yufei Tian, Tian, Yufei, Abhilasha Ravichander +15 · 9 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering Research #Topic Modeling
- Accumulating Context Changes the Beliefs of Language Models
2025/11/03 by Jiayi Geng, Geng, Jiayi, Howard Chen +11 · 4 voices · 5 citations
Medicine · Computer Science · Social Sciences · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
- The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
2007/10/03 by Blei, David M., Griffiths, Thomas L., Jordan, Michael I. · 3 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Evaluating Theory of Mind in Question Answering
2018/08/28 by Nematzadeh, Aida, Burns, Kaylee, Grant, Erin +2 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Large language models predict human sensory judgments across six modalities
2023/02/02 by Marjieh, Raja, Sucholutsky, Ilia, van Rijn, Pol +2 · 6 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
2020/07/05 by Michael Chang, Chang, Michael, Sidhant Kaushik +7 · 1 voice
Computer Science · Decision Sciences · #Auction Theory and Applications #Game Theory and Applications #Reinforcement Learning in Robotics #cs.GT #cs.LG #cs.MA #cs.NE #stat.ML
- Universal linguistic inductive biases via meta-learning
2020/06/29 by McCoy, R. Thomas, Grant, Erin, Smolensky, Paul +2 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Cognitive science as a source of forward and inverse models of human\n decisions for robotics and control
2021/08/31 by Mark K. Ho, Thomas L. Griffiths, Ho, Mark K. +1 · 4 citations
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Human-Automation Interaction and Safety #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
2024/02/11 by Ryan Liu, Theodore R. Sumers, Liu, Ryan +5 · 7 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG)
- Investigating representations of verb bias in neural language models
2020/10/05 by Hawkins, Robert D., Yamakoshi, Takateru, Griffiths, Thomas L. +1 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Automating the Practice of Science -- Opportunities, Challenges, and Implications
2024/08/27 by Musslick, Sebastian, Bartlett, Laura K., Chandramouli, Suyog H. +11 · 6 citations
#Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph)
- Towards Foundation Models for 3D Vision: How Close Are We?
2024/10/14 by Yiming Zuo, Zuo, Yiming, Karhan Kayan +8 · 6 citations
Earth and Planetary Sciences · #3D Surveying and Cultural Heritage
- Bayes in the age of intelligent machines
2023/11/16 by Thomas L. Griffiths, Griffiths, Thomas L., Jian-Qiao Zhu +5 · 2 voices · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference #Neural Networks and Applications
- Learning Rewards from Linguistic Feedback
2020/09/30 by Sumers, Theodore R., Ho, Mark K., Hawkins, Robert D. +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- What is a Number, That a Large Language Model May Know It?
2025/02/03 by Raja Marjieh, Marjieh, Raja, Veniamin Veselovsky +5 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Mathematics, Computing, and Information Processing
- Adapting Deep Network Features to Capture Psychological Representations
2016/08/06 by Joshua C. Peterson, Peterson, Joshua C., Joshua T. Abbott +3 · 6 citations
Neuroscience · Computer Science · #Face Recognition and Perception #Visual Attention and Saliency Detection #Domain Adaptation and Few-Shot Learning
- Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
2024/07/01 by Prabhakar, Akshara, Griffiths, Thomas L., McCoy, R. Thomas · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
2024/06/06 by Liyi Zhang, Zhang, Liyi, Michael Y. Li +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #I.5 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Rational Metareasoning for Large Language Models
2024/10/07 by De Sabbata, C. Nicolò, Sumers, Theodore R., AlKhamissi, Badr +2 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Alignment with human representations supports robust few-shot learning
2023/01/27 by Ilia Sucholutsky, Thomas L. Griffiths, Sucholutsky, Ilia +1 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Im-Promptu: In-Context Composition from Image Prompts
2023/05/26 by Bhishma Dedhia, Dedhia, Bhishma, Michael Chang +7 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
2025/01/15 by Liang, Kaiqu, Hu, Haimin, Liu, Ryan +2 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Capturing the Complexity of Human Strategic Decision-Making with Machine Learning
2024/08/15 by Jian-Qiao Zhu, Zhu, Jian-Qiao, Joshua C. Peterson +5 · 3 citations
Business, Management and Accounting · Decision Sciences · #Big Data and Business Intelligence #Competitive and Knowledge Intelligence #Complex Systems and Decision Making #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #General Economics (econ.GN) #Machine Learning (cs.LG)
- On Benchmarking Human-Like Intelligence in Machines
2025/02/27 by Ying, Lance, Collins, Katherine M., Wong, Lionel +6 · 6 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Eliciting the Priors of Large Language Models using Iterated In-Context Learning
2024/06/04 by Jian-Qiao Zhu, Thomas L. Griffiths, Zhu, Jian-Qiao +1 · 3 citations
Computer Science · #Topic Modeling
- Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
2025/02/27 by Gianluca Bencomo, Bencomo, Gianluca, Max Gupta +7 · 1 voice · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Modeling Human Categorization of Natural Images Using Deep Feature Representations
2017/11/13 by Ruairidh M. Battleday, Joshua C. Peterson, Battleday, Ruairidh M. +3 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels
2018/05/19 by Joshua C. Peterson, Paul Soulos, Peterson, Joshua C. +5 · 1 citation
Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face Recognition and Perception #Visual Attention and Saliency Detection
- Assessing Adaptive World Models in Machines with Novel Games
2025/07/17 by Lance Ying, Ying, Lance, Katherine M. Collins +28 · 2 voices · 6 citations
Computer Science · #Artificial Intelligence in Games #Computability, Logic, AI Algorithms #Reinforcement Learning in Robotics #cs.AI #cs.LG
- Whither symbols in the era of advanced neural networks?
2025/08/07 by Thomas L. Griffiths, Brenden M. Lake, Griffiths, Thomas L. +7 · 4 voices · 2 citations
#cs.AI
- The Efficiency of Human Cognition Reflects Planned Information Processing
2020/02/13 by Mark K. Ho, David Abel, Ho, Mark K. +7 · 1 citation
Computer Science · Decision Sciences · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complex Systems and Decision Making #FOS: Computer and information sciences
- Preference-Conditioned Language-Guided Abstraction
2024/02/05 by Peng, Andi, Bobu, Andreea, Li, Belinda Z. +5 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
2020/07/17 by Pulkit Singh, Singh, Pulkit, Joshua C. Peterson +5 · 1 citation
Psychology · Social Sciences · #Child and Animal Learning Development #Categorization, perception, and language #Language and cultural evolution
- Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation
2020/12/16 by Theodore R. Sumers, Sumers, Theodore R., Mark K. Ho +3 · 1 citation
Computer Science · Psychology · #Child and Animal Learning Development #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing
- Localized Cultural Knowledge is Conserved and Controllable in Large Language Models
2025/04/14 by Veselovsky, Veniamin, Argin, Berke, Stroebl, Benedikt +5 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Improving Interpersonal Communication by Simulating Audiences with Language Models
2023/11/01 by Liu, Ryan, Yen, Howard, Marjieh, Raja +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Can Humans Do Less-Than-One-Shot Learning?
2022/02/09 by Maya Malaviya, Malaviya, Maya, Ilia Sucholutsky +5 · 1 citation
Computer Science · #Machine Learning and Data Classification
- Predicting Human Similarity Judgments Using Large Language Models
2022/02/09 by Marjieh, Raja, Sucholutsky, Ilia, Sumers, Theodore R. +2 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Toward Efficient Exploration by Large Language Model Agents
2025/04/29 by Dilip Arumugam, Arumugam, Dilip, Thomas L. Griffiths +1 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Speech and dialogue systems
- Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
2025/05/23 by Geng, Jiayi, Chen, Howard, Arumugam, Dilip +1 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Gaussian Process Surrogate Models for Neural Networks
2022/08/11 by Michael Y. Li, Li, Michael Y., Erin Grant +3 · 1 citation
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Fault Detection and Control Systems
- Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
2025/05/16 by Jian-Qiao Zhu, Zhu, Jian-Qiao, Hanbo Xie +7 · 1 voice · 3 citations
Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education
- Relational Constraints On Neural Networks Reproduce Human Biases towards Abstract Geometric Regularity
2023/09/29 by Campbell, Declan, Kumar, Sreejan, Giallanza, Tyler +2 · 2 citations
#FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
- Levels of Analysis for Large Language Models
2025/03/17 by Ku, Alexander, Campbell, Declan, Bai, Xuechunzi +10 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Concept Alignment as a Prerequisite for Value Alignment
2023/10/30 by Sunayana Rane, Rane, Sunayana, Mark K. Ho +5 · 1 citation
Neuroscience · #Psychology of Moral and Emotional Judgment
- Concept Alignment
2024/01/09 by Sunayana Rane, Rane, Sunayana, Polyphony Bruna +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- Distilling Symbolic Priors for Concept Learning into Neural Networks
2024/02/10 by Marinescu, Ioana, McCoy, R. Thomas, Griffiths, Thomas L. · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Conformal Prediction as Bayesian Quadrature
2025/02/18 by Snell, Jake C., Griffiths, Thomas L. · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Cognitive Foundations for Reasoning and Their Manifestation in LLMs
2025/11/20 by Priyanka Kargupta, Shuyue Stella Li, Kargupta, Priyanka +23 · 1 voice · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI
- A Rational Analysis of the Speech-to-Song Illusion
2024/02/10 by Marjieh, Raja, van Rijn, Pol, Sucholutsky, Ilia +3 · 1 citation
#Applications (stat.AP) #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC)
- Predicting Multi-Agent Specialization via Task Parallelizability
2025/03/19 by Elizabeth Mieczkowski, Mieczkowski, Elizabeth, Ruaridh Mon-Williams +11 · 1 voice · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #cs.AI #cs.MA
- Program-Based Strategy Induction for Reinforcement Learning
2024/02/26 by Carlos G. Correa, Thomas L. Griffiths, Correa, Carlos G. +3 · 1 citation
Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics
- Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
2024/02/06 by Declan Campbell, Campbell, Declan, Sreejan Kumar +7 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Neurons and Cognition (q-bio.NC)
- Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
2025/04/17 by Liyi Zhang, Zhang, Liyi, Veniamin Veselovsky +5 · 1 citation
Computer Science · Medicine · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education
- Are Large Language Models Sensitive to the Motives Behind Communication?
2025/10/22 by Addison J. Wu, Aiping Wu, Ryan Liu +8 · 1 voice · 1 citation
Computer Science · Social Sciences · #AI in Service Interactions #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
- Characterizing the Interaction of Cultural Evolution Mechanisms in Experimental Social Networks
2025/02/18 by Raja Marjieh, Manuel Anglada-Tort, Marjieh, Raja +5 · 1 citation
Physics and Astronomy · Social Sciences · #Opinion Dynamics and Social Influence #Evolutionary Game Theory and Cooperation #Language and cultural evolution
- Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
2025/05/22 by Ruaridh Mon-Williams, Mon-Williams, Ruaridh, Max Taylor-Davies +13 · 1 voice · 2 citations
#cs.AI #cs.LG