I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers.

Alexa R. Tartaglini

Alexa R. Tartaglini Michael A. Lepori I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers. 2026 April abs/2604.09942 CoRR https://doi.org/10.48550/arXiv.2604.09942 db/journals/corr/corr2604.html#abs-2604-09942 streams/journals/corr

Qinan Yu Alexa R. Tartaglini Peter Hase Carlos Guestrin Christopher Potts Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning. 2026 April abs/2604.22074 CoRR https://doi.org/10.48550/arXiv.2604.22074 db/journals/corr/corr2604.html#abs-2604-22074 streams/journals/corr

Alexa R. Tartaglini Christopher Potts Judith E. Fan Exploring the mechanisms that enable multimodal reasoning about data visualizations in vision-language models. 2025 CogSci https://escholarship.org/uc/item/7bs5p3g5 conf/cogsci/2025 db/conf/cogsci/cogsci2025.html#TartagliniPF25

Alexa R. Tartaglini Satchel Grant Daniel Wurgaft Christopher Potts Judith E. Fan Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models. 2025 October abs/2510.21740 CoRR https://doi.org/10.48550/arXiv.2510.21740 db/journals/corr/corr2510.html#abs-2510-21740 streams/journals/corr

Satchel Grant Simon Jerome Han Alexa R. Tartaglini Christopher Potts Addressing divergent representations from causal interventions on neural networks. 2025 November abs/2511.04638 CoRR https://doi.org/10.48550/arXiv.2511.04638 db/journals/corr/corr2511.html#abs-2511-04638 streams/journals/corr

Michael A. Lepori Alexa R. Tartaglini Wai Keen Vong Thomas Serre Brenden M. Lake Ellie Pavlick Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/ed99503856b2ba85092e5413add65d86-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#LeporiTVSLP24

Michael A. Lepori Alexa R. Tartaglini Wai Keen Vong Thomas Serre Brenden M. Lake Ellie Pavlick Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. 2024 abs/2406.15955 CoRR https://doi.org/10.48550/arXiv.2406.15955 db/journals/corr/corr2406.html#abs-2406-15955

Alexa R. Tartaglini Sheridan Feucht Michael A. Lepori Wai Keen Vong Charles Lovering Brenden M. Lake Ellie Pavlick Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. 2023 abs/2310.09612 CoRR https://doi.org/10.48550/arXiv.2310.09612 db/journals/corr/corr2310.html#abs-2310-09612

Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. 2022 CogSci https://escholarship.org/uc/item/6hj739kb conf/cogsci/2022 db/conf/cogsci/cogsci2022.html#TartagliniVL22

Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. 2022 abs/2202.08340 CoRR https://arxiv.org/abs/2202.08340 db/journals/corr/corr2202.html#abs-2202-08340

Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. 2021 CogSci https://escholarship.org/uc/item/6tm8664n conf/cogsci/2021 db/conf/cogsci/cogsci2021.html#TartagliniVL21 Judith E. Fan Sheridan Feucht Satchel Grant Carlos Guestrin Simon Jerome Han Peter Hase Brenden M. Lake Michael A. Lepori Charles Lovering Ellie Pavlick Christopher Potts Thomas Serre Wai Keen Vong Daniel Wurgaft Qinan Yu