Declan Campbell

19 papers A* 2B 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context Structure Reshapes the Representational Geometry of Language Models. CoRR Eghbal A. Hosseini, Yuxuan Li, Yasaman Bahri, Declan Campbell, Andrew Kyle Lampinen
2026	J	`jnl`	The Geometry of Representational Failures in Vision Language Models. CoRR Daniele Savietto, Declan Campbell, André Panisson, Marco Nurisso, Giovanni Petri, Jonathan D. Cohen, Alan Perotti
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	A*	`conf`	Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. ICML Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb
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`	Just-in-time and distributed task representations in language models. CoRR Yuxuan Li, Declan Campbell, Stephanie C. Y. Chan, Andrew Kyle Lampinen
2025	J	`jnl`	Understanding Task Representations in Neural Networks via Bayesian Ablation. CoRR Andrew Nam, Declan Campbell, Thomas L. Griffiths, Jonathan D. Cohen, Sarah-Jane Leslie
2025	J	`jnl`	Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis. CoRR Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths
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
2024	J	`jnl`	A Relational Inductive Bias for Dimensional Abstraction in Neural Networks. CoRR Declan Campbell, Jonathan D. Cohen
2024	J	`jnl`	Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths
2024	B	`conf`	Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. CogSci Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024	J	`jnl`	Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen
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
2024	J	`jnl`	Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases. CoRR Raja Marjieh, Sreejan Kumar, Declan Campbell, Liyi Zhang, Gianluca M. Bencomo, Jake Snell, Thomas L. Griffiths
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
2020	B	`conf`	Disentangling Generativity in Visual Cognition. CogSci Declan Campbell, Timothy T. Rogers