Taylor W. Webb

38 papers A* 3B 11Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bound by semanticity: universal laws governing the generalization-identification tradeoff. CoRR Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M. Frankland, Richard L. Lewis, Taylor W. Webb, Declan Campbell, Francesco Vaccarino, Jonathan D. Cohen, Giovanni Petri
2025	B	`conf`	Cognitively Inspired Interpretability in Large Neural Networks. CogSci Anna Leshinskaya, Taylor W. Webb, Ellie Pavlick, Jiahai Feng, Gustaw Opielka, Claire E. Stevenson, Idan A. Blank
2025	J	`jnl`	Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. CoRR Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor W. Webb
2025	J	`jnl`	Engineering Sentience. CoRR Konstantin Demin, Taylor W. Webb, Eric Elmoznino, Hakwan Lau
2025	J	`jnl`	Evaluating Compositional Scene Understanding in Multimodal Generative Models. CoRR Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor W. Webb
2025	B	`conf`	Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. CogSci Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025	J	`jnl`	Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction. CoRR Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025	B	`conf`	How do LLMs Solve Multi-step Reasoning? An Algorithmic Evaluation. CogSci Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor W. Webb, Ida Momennejad
2025	B	`conf`	Non-linear relational composition in large language models. CogSci Michael B. McCoy, Taylor W. Webb, Anna Leshinskaya
2025	J	`jnl`	Position: We Need An Algorithmic Understanding of Generative AI. CoRR Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor W. Webb, Ida Momennejad
2025	J	`jnl`	Visual serial processing deficits explain divergences in human and VLM reasoning. CoRR Nicholas Budny, Kia Ghods, Declan Campbell, Raja Marjieh, Amogh Joshi, Sreejan Kumar, Jonathan D. Cohen, Taylor W. Webb, Thomas L. Griffiths
2025	J	`jnl`	Visual symbolic mechanisms: Emergent symbol processing in vision language models. CoRR Rim Assouel, Declan Campbell, Taylor W. Webb
2025	J	`jnl`	Whither symbols in the era of advanced neural networks? CoRR Thomas L. Griffiths, Brenden M. Lake, R. Thomas McCoy, Ellie Pavlick, Taylor W. Webb
2024	J	`jnl`	Evidence from counterfactual tasks supports emergent analogical reasoning in large language models. CoRR Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
2024	B	`conf`	Higher cognition in large language models. CogSci Nicholas Ichien, Sudeep Bhatia, Anna A. Ivanova, Taylor W. Webb, Tom Griffiths, Marcel Binz
2024	J	`jnl`	Slot Abstractors: Toward Scalable Abstract Visual Reasoning. CoRR Shanka Subhra Mondal, Jonathan D. Cohen, Taylor W. Webb
2024	A*	`conf`	Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. NeurIPS Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven Frankland, Tom Griffiths, Jonathan D. Cohen, Taylor W. Webb
2024	J	`jnl`	Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. CoRR Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb
2023	J	`jnl`	A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. CoRR Taylor W. Webb, Shanka Subhra Mondal, Chi Wang, Brian Krabach, Ida Momennejad
2023	J	`jnl`	Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning. CoRR Awni Altabaa, Taylor W. Webb, Jonathan D. Cohen, John Lafferty
2023	J	`jnl`	Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization. CoRR Shanka Subhra Mondal, Steven Frankland, Taylor W. Webb, Jonathan D. Cohen
2023	A*	`conf`	Systematic Visual Reasoning through Object-Centric Relational Abstraction. NeurIPS Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen
2023	J	`jnl`	Systematic Visual Reasoning through Object-Centric Relational Abstraction. CoRR Taylor W. Webb, Shanka Subhra Mondal, Jonathan D. Cohen
2023	J	`jnl`	The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen
2022	J	`jnl`	Emergent Analogical Reasoning in Large Language Models. CoRR Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
2022	J	`jnl`	Zero-shot visual reasoning through probabilistic analogical mapping. CoRR Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2021	B	`conf`	A Task-Optimized Neural Network Model of Decision Confidence. CogSci Taylor W. Webb, Kiyofumi Miyoshi, Tsz Yan So, Hakwan Lau
2021	B	`conf`	Modelling the development of counting with memory-augmented neural networks. CogSci Zack Dulberg, Taylor W. Webb, Jonathan Cohen
2021	J	`jnl`	Modelling the development of counting with memory-augmented neural networks. CoRR Zack Dulberg, Taylor W. Webb, Jonathan Cohen
2020	J	`jnl`	A Memory-Augmented Neural Network Model of Abstract Rule Learning. CoRR Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen
2020	B	`conf`	A memory-augmented neural network model of abstract sequential reasoning. CogSci Ishan Sinha, Jonathan Cohen, Taylor W. Webb
2020	J	`jnl`	Emergent Symbols through Binding in External Memory. CoRR Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen
2020	A*	`conf`	Learning Representations that Support Extrapolation. ICML Taylor W. Webb, Zachary Dulberg, Steven Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2020	J	`jnl`	Learning Representations that Support Extrapolation. CoRR Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen
2019	B	`conf`	A tradeoff between generalization and perceptual capacity in recurrent neural networks. CogSci Taylor W. Webb, Steven Frankland, Simon N. Segert, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	B	`conf`	Extracting and Utilizing Abstract, Structured Representations for Analogy. CogSci Steven Frankland, Taylor W. Webb, Alexander A. Petrov, Randall C. O'Reilly, Jonathan Cohen
2019	B	`conf`	Understanding interactions amongst cognitive control, learning and representation. CogSci Sebastian Musslick, Abigail Novick Hoskin, Taylor W. Webb, Steven Frankland, Jonathan D. Cohen, Rebecca L. Jackson, Matthew A. Lambon Ralph, Lang Chen, Timothy T. Rogers, Randall C. O'Reilly, Alexander A. Petrov
2016	J	`jnl`	Effects of Awareness on the Control of Attention. J. Cogn. Neurosci. Taylor W. Webb, Hope H. Kean, Michael S. A. Graziano