Understanding Human Intelligence through Human Limitations

29 September 2020

Papers citing "Understanding Human Intelligence through Human Limitations"

27 / 27 papers shown

Title
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs Yu-Zhe Shi Mingchen Liu Fanxu Meng Qiao Xu Zhangqian Bi Kun He Lecheng Ruan Qining Wang 29 0 0 04 Apr 2025
Predicting Multi-Agent Specialization via Task Parallelizability Elizabeth Mieczkowski Ruaridh Mon-Williams Neil R. Bramley Christopher G. Lucas Natalia Vélez Thomas L. Griffiths 44 1 0 19 Mar 2025
Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis Alexander Ku Declan Campbell Xuechunzi Bai Jiayi Geng Ryan Liu ... Ilia Sucholutsky Veniamin Veselovsky Liyi Zhang Jian-Qiao Zhu Thomas L. Griffiths ELM 88 2 0 17 Mar 2025
On Benchmarking Human-Like Intelligence in Machines Lance Ying K. M. Collins L. Wong Ilia Sucholutsky Ryan Liu Adrian Weller Tianmin Shu Thomas L. Griffiths Joshua B. Tenenbaum ALM ELM 118 3 0 27 Feb 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction K. M. Collins Umang Bhatt Ilia Sucholutsky 46 1 0 16 Jan 2025
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Paul Soulos Henry Conklin Mattia Opper P. Smolensky Jianfeng Gao Roland Fernandez 68 4 0 18 Dec 2024
Dynamic Information Sub-Selection for Decision Support Hung-Tien Huang M. Lennon Shreyas Bhat Brahmavar Sean Sylvia Junier B. Oliva 37 0 0 30 Oct 2024
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse Ryan Liu Jiayi Geng Addison J. Wu Ilia Sucholutsky Tania Lombrozo Thomas L. Griffiths ReLM LRM 60 19 0 27 Oct 2024
Reflection-Bench: probing AI intelligence with reflection Lingyu Li Yixu Wang Haiquan Zhao Shuqi Kong Yan Teng Chunbo Li Yingchun Wang 11 2 0 21 Oct 2024
Neural networks that overcome classic challenges through practice Kazuki Irie Brenden M. Lake 34 4 0 14 Oct 2024
Rational Metareasoning for Large Language Models C. Nicolò De Sabbata T. Sumers Thomas L. Griffiths ReLM LRM 28 1 0 07 Oct 2024
When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1 R. Thomas McCoy Shunyu Yao Dan Friedman Mathew D. Hardy Thomas L. Griffiths LRM 39 7 0 02 Oct 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas L. Griffiths 40 29 0 22 Jul 2024
Representations as Language: An Information-Theoretic Framework for Interpretability Henry Conklin Kenny Smith MILM 34 1 0 04 Jun 2024
AI for Mathematics: A Cognitive Science Perspective Cedegao E. Zhang Katherine M. Collins Adrian Weller Joshua B. Tenenbaum 34 9 0 19 Oct 2023
Dimensions of Disagreement: Unpacking Divergence and Misalignment in Cognitive Science and Artificial Intelligence Kerem Oktar Ilia Sucholutsky Tania Lombrozo Thomas L. Griffiths AI4CE 52 3 0 03 Oct 2023
Studying and improving reasoning in humans and machines Nicolas Yax Hernan Anlló Stefano Palminteri LRM 57 18 0 21 Sep 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction Taylor W. Webb Steven M. Frankland Awni Altabaa Simon N. Segert Kamesh Krishnamurthy ... Tyler Giallanza Zack Dulberg Randall O'Reilly John Lafferty Jonathan D. Cohen 31 27 0 12 Sep 2023
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik Narasimhan Thomas L. Griffiths LLMAG LM&Ro 42 151 0 05 Sep 2023
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students Katherine Abramski Salvatore Citraro Luigi Lombardi Giulio Rossetti Massimo Stella 20 5 0 22 May 2023
Emergent Analogical Reasoning in Large Language Models Taylor W. Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 38 291 0 19 Dec 2022
Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models? Lukas Thoma Benjamin Roth 16 0 0 12 May 2022
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems Sarah Fabi Thilo Hagendorff 17 12 0 18 Mar 2022
Meta-Learning to Compositionally Generalize Henry Conklin Bailin Wang Kenny Smith Ivan Titov OOD 26 73 0 08 Jun 2021
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning Saksham Consul Lovis Heindrich Jugoslav Stojcheski Falk Lieder OffRL 9 9 0 31 Jan 2021
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017