Michelle S. Lam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Attention to Non-Adopters. | Kaitlyn Zhou, Kristina Gligoric, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Hannah Cha, Dan Jurafsky |
| 2026 | CHI | Just-In-Time Objectives: A General Approach for Specialized AI Interactions. | Michelle S. Lam, Omar Shaikh, Hallie Xu, Alice Guo, Diyi Yang, Jeffrey Heer, James A. Landay, Michael S. Bernstein |
| 2025 | CHI | Human-Centered Evaluation and Auditing of Language Models. | Yu Lu Liu, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Q. Vera Liao, Wei Xu, Jekaterina Novikova, Ziang Xiao |
| 2025 | ICLR | Aligning Language Models with Demonstrated Feedback. | Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Hyundong Justin Cho, Michael S. Bernstein, Diyi Yang |
| 2025 | UIST | Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors. | Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery |
| 2025 | UIST | Refractor: Steerable Live Clustering for Speaker-Audience Understanding. | Poonam Sahoo, Michelle S. Lam, Michael S. Bernstein |
| 2024 | CHI | Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM. | Michelle S. Lam, Janice Teoh, James A. Landay, Jeffrey Heer, Michael S. Bernstein |
| 2024 | CHI | Human-Centered Evaluation and Auditing of Language Models. | Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Q. Vera Liao |
| 2024 | UIST | Clarify: Improving Model Robustness With Natural Language Corrections. | Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn |
| 2024 | UIST | Granting Non-AI Experts Creative Control Over AI Systems. | Michelle S. Lam |
| 2023 | CHI | Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. | Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein |
| 2023 | CSCW | Supporting User Engagement in Testing, Auditing, and Contesting AI. | Wesley Hanwen Deng, Michelle S. Lam, ngel Alexander Cabrera, Dana Metaxa, Motahhare Eslami, Kenneth Holstein |
| 2022 | CHI | Jury Learning: Integrating Dissenting Voices into Machine Learning Models. | Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein |
| 2019 | CHI | Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. | Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein |
| 2016 | CHI | Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. | Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein |