Sunnie S. Y. Kim

36 papers A* 6B 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them. CHI Allison Chen, Sunnie S. Y. Kim, Angel Nathaniel Franyutti-Cintron, Amaya Dharmasiri, Kushin Mukherjee, Olga Russakovsky, Judith E. Fan
2025	J	`jnl`	AI Adoption Across Mission-Driven Organizations. CoRR Dalia Ali, Muneeb Ahmed, Hailan Wang, Arfa Khan, Naira Paola Arnez-Jordan, Sunnie S. Y. Kim, Meet Dilip Muchhala, Anne Kathrin Merkle, Orestis Papakyriakopoulos
2025	A*	`conf`	Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies. CHI Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao, Tania Lombrozo, Olga Russakovsky
2025	J	`jnl`	Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies. CoRR Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao, Tania Lombrozo, Olga Russakovsky
2025	—	`conf`	Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations. CHI Extended Abstracts Indu Panigrahi, Sunnie S. Y. Kim, Amna Liaqat, Rohan Jinturkar, Olga Russakovsky, Ruth Fong, Parastoo Abtahi
2025	J	`jnl`	Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations. CoRR Indu Panigrahi, Sunnie S. Y. Kim, Amna Liaqat, Rohan Jinturkar, Olga Russakovsky, Ruth Fong, Parastoo Abtahi
2025	J	`jnl`	Measuring and mitigating overreliance is necessary for building human-compatible AI. CoRR Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt
2025	J	`jnl`	PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming. CoRR Wesley Hanwen Deng, Sunnie S. Y. Kim, Akshita Jha, Ken Holstein, Motahhare Eslami, Lauren Wilcox, Leon A. Gatys
2025	—	`conf`	Portraying Large Language Models as Machines, Tools, or Companions Affects What Mental Capacities Humans Attribute to Them. CHI Extended Abstracts Allison Chen, Sunnie S. Y. Kim, Amaya Dharmasiri, Olga Russakovsky, Judith E. Fan
2025	B	`conf`	Portraying Large Language Models as Machines, Tools, or Companions Affects What Mental Capacities People Attribute to Them. CogSci Allison Chen, Sunnie S. Y. Kim, Amaya Dharmasiri, Olga Russakovsky, Judith E. Fan
2025	J	`jnl`	Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them. CoRR Allison Chen, Sunnie S. Y. Kim, Angel Nathaniel Franyutti-Cintron, Amaya Dharmasiri, Kushin Mukherjee, Olga Russakovsky, Judith E. Fan
2024	—	`conf`	"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. FAccT Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
2024	J	`jnl`	"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. CoRR Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
2024	—	`conf`	Allowing Humans to Interactively Guide Machines Where to Look Does Not Always Improve Human-AI Team's Classification Accuracy. XAI4CV Giang Nguyen, Mohammad Reza Taesiri, Sunnie S. Y. Kim, Anh Totti Nguyen
2024	J	`jnl`	Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy. CoRR Giang Nguyen, Mohammad Reza Taesiri, Sunnie S. Y. Kim, Anh Nguyen
2024	—	`conf`	Establishing Appropriate Trust in AI through Transparency and Explainability. CHI Extended Abstracts Sunnie S. Y. Kim
2024	—	`conf`	Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). CHI Extended Abstracts Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl
2023	A*	`conf`	"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CHI Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
2023	—	`conf`	Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. FAccT Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
2023	J	`jnl`	Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. CoRR Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
2023	A*	`conf`	Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability. CVPR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
2023	J	`jnl`	UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs. CoRR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
2023	J	`jnl`	WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang
2022	J	`jnl`	"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CoRR Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
2022	J	`jnl`	ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features. CoRR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
2022	—	`conf`	HIVE: Evaluating the Human Interpretability of Visual Explanations. ECCV (12) Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2022	J	`jnl`	Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability. CoRR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
2021	J	`jnl`	Cleaning and Structuring the Label Space of the iMet Collection 2020. CoRR Vivien Nguyen, Sunnie S. Y. Kim
2021	A*	`conf`	Fair Attribute Classification Through Latent Space De-Biasing. CVPR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
2021	J	`jnl`	HIVE: Evaluating the Human Interpretability of Visual Explanations. CoRR Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2021	A*	`conf`	Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
2021	J	`jnl`	[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky
2020	—	`conf`	Deformable Style Transfer. ECCV (26) Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
2020	J	`jnl`	Deformable Style Transfer. CoRR Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
2020	J	`jnl`	Fair Attribute Classification through Latent Space De-biasing. CoRR Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
2020	J	`jnl`	Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester