Sunnie S. Y. Kim

Senior Researcher

Publications

Afficher par:

- Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026
  
  Sunnie S. Y. Kim, Wesley Deng, Jennifer Wortman Vaughan, Buxin Su, Wei-Jie Su, Alekh Agarwal, Sharon Li, Martin Jaggi, Daniel G. Goldstein, Nihar B. Shah, Miro Dudík
  
  December 2026
  
  arXiv | December 2026
  
  Best Paper Award at AI-Native Academia Workshop @Neurip 2026
  
  Publication
- PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI
  
  Wesley Deng, Ming Yan, Sunnie S. Y. Kim, Akshita Jha, L. Wilcox, Kenneth Holstein, Motahhare Eslami, Leon Gatys
  
  2026 UIST '26: Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology | November 2026
  
  Publication
- Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
  
  Sunnie S. Y. Kim, Margit Bowler, Leon Gatys
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Understanding Annotator Safety Policy with Interpretability
  
  Alexander X. Oesterling, Donghao Ren, Yannick Assogba, Dominik Moritz, Sunnie S. Y. Kim, Leon Gatys, Fred Hohman
  
  May 2026
  
  arXiv | May 2026
  
  DOI Publication
- 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
  
  Human Factors in Computing Systems | October 2025
  
  Publication
- 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
  
  CHI 2025 | April 2025
  
  Honorable Mention, CHI 2025
  
  Publication
- “I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust
  
  Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
  
  7th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) | June 2024
  
  Publication Projet

- Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026
  
  Sunnie S. Y. Kim, Wesley Deng, Jennifer Wortman Vaughan, Buxin Su, Wei-Jie Su, Alekh Agarwal, Sharon Li, Martin Jaggi, Daniel G. Goldstein, Nihar B. Shah, Miro Dudík
  
  December 2026
  
  arXiv | December 2026
  
  Best Paper Award at AI-Native Academia Workshop @Neurip 2026
  
  Publication
- PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI
  
  Wesley Deng, Ming Yan, Sunnie S. Y. Kim, Akshita Jha, L. Wilcox, Kenneth Holstein, Motahhare Eslami, Leon Gatys
  
  2026 UIST '26: Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology | November 2026
  
  Publication
- Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
  
  Sunnie S. Y. Kim, Margit Bowler, Leon Gatys
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- 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
  
  Human Factors in Computing Systems | October 2025
  
  Publication
- 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
  
  CHI 2025 | April 2025
  
  Honorable Mention, CHI 2025
  
  Publication
- Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
  
  Sunnie S. Y. Kim, Margit Bowler, Leon Gatys
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Understanding Annotator Safety Policy with Interpretability
  
  Alexander X. Oesterling, Donghao Ren, Yannick Assogba, Dominik Moritz, Sunnie S. Y. Kim, Leon Gatys, Fred Hohman
  
  May 2026
  
  arXiv | May 2026
  
  DOI Publication
- 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
  
  CHI 2025 | April 2025
  
  Honorable Mention, CHI 2025
  
  Publication
- “I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust
  
  Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
  
  7th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) | June 2024
  
  Publication Projet
- Understanding Annotator Safety Policy with Interpretability
  
  Alexander X. Oesterling, Donghao Ren, Yannick Assogba, Dominik Moritz, Sunnie S. Y. Kim, Leon Gatys, Fred Hohman
  
  May 2026
  
  arXiv | May 2026
  
  DOI Publication

- Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026
  
  Sunnie S. Y. Kim, Wesley Deng, Jennifer Wortman Vaughan, Buxin Su, Wei-Jie Su, Alekh Agarwal, Sharon Li, Martin Jaggi, Daniel G. Goldstein, Nihar B. Shah, Miro Dudík
  
  December 2026
  
  arXiv | December 2026
  
  Best Paper Award at AI-Native Academia Workshop @Neurip 2026
  
  Publication
- Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
  
  Sunnie S. Y. Kim, Margit Bowler, Leon Gatys
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Understanding Annotator Safety Policy with Interpretability
  
  Alexander X. Oesterling, Donghao Ren, Yannick Assogba, Dominik Moritz, Sunnie S. Y. Kim, Leon Gatys, Fred Hohman
  
  May 2026
  
  arXiv | May 2026
  
  DOI Publication
- PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI
  
  Wesley Deng, Ming Yan, Sunnie S. Y. Kim, Akshita Jha, L. Wilcox, Kenneth Holstein, Motahhare Eslami, Leon Gatys
  
  2026 UIST '26: Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology | November 2026
  
  Publication
- 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
  
  Human Factors in Computing Systems | October 2025
  
  Publication
- 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
  
  CHI 2025 | April 2025
  
  Honorable Mention, CHI 2025
  
  Publication
- “I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust
  
  Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
  
  7th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) | June 2024
  
  Publication Projet

Sunnie S. Y. Kim

Publications

Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI

Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts

Understanding Annotator Safety Policy with Interpretability

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

“I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust

Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI

Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts

Understanding Annotator Safety Policy with Interpretability

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

“I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust

Understanding Annotator Safety Policy with Interpretability

Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026

Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts

Understanding Annotator Safety Policy with Interpretability

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI

Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

“I’m Not Sure, But…”: Examining the Impact of Large Language Models’ Uncertainty Expression on User Reliance and Trust

Contact Sunnie S. Y. Kim

Microsoft Research New York City