| 2026 | CHI | Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them. | Allison Chen, Sunnie S. Y. Kim, Angel Nathaniel Franyutti-Cintron, Amaya Dharmasiri, Kushin Mukherjee, Olga Russakovsky, Judith E. Fan |
| 2025 | CHI | Portraying Large Language Models as Machines, Tools, or Companions Affects What Mental Capacities Humans Attribute to Them. | Allison Chen, Sunnie S. Y. Kim, Amaya Dharmasiri, Olga Russakovsky, Judith E. Fan |
| 2025 | CHI | Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies. | Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao, Tania Lombrozo, Olga Russakovsky |
| 2025 | CHI | Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations. | Indu Panigrahi, Sunnie S. Y. Kim, Amna Liaqat, Rohan Jinturkar, Olga Russakovsky, Ruth Fong, Parastoo Abtahi |
| 2025 | CogSci | Portraying Large Language Models as Machines, Tools, or Companions Affects What Mental Capacities People Attribute to Them. | Allison Chen, Sunnie S. Y. Kim, Amaya Dharmasiri, Olga Russakovsky, Judith E. Fan |
| 2024 | CHI | Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). | Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl |
| 2024 | CHI | Establishing Appropriate Trust in AI through Transparency and Explainability. | Sunnie S. Y. Kim |
| 2023 | CHI | "Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. | Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrs Monroy-Hernndez |
| 2023 | CVPR | Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability. | Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky |
| 2022 | ECCV | HIVE: Evaluating the Human Interpretability of Visual Explanations. | Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky |
| 2021 | CVPR | Fair Attribute Classification Through Latent Space De-Biasing. | Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky |
| 2021 | CVPR | Information-Theoretic Segmentation by Inpainting Error Maximization. | Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester |
| 2020 | ECCV | Deformable Style Transfer. | Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich |