Mitchell L. Gordon

34 papers A* 11A 1B 4Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes. CoRR Yu Ying Chiu, Michael S. Lee, Rachel Calcott, Brandon Handoko, Paul de Font-Reaulx, Paula Rodriguez, Chen Bo Calvin Zhang, Ziwen Han, Udari Madhushani Sehwag, Yash Maurya, Christina Q. Knight, Harry R. Lloyd, Florence Bacus, Mantas Mazeika, Bing Liu, Yejin Choi, Mitchell L. Gordon, Sydney Levine
2024	J	`jnl`	A Roadmap to Pluralistic Alignment. CoRR Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
2024	A*	`conf`	Position: A Roadmap to Pluralistic Alignment. ICML Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
2024	A*	`conf`	StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. EMNLP Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zaïd Harchaoui, Yejin Choi
2024	J	`jnl`	StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. CoRR Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zaïd Harchaoui, Yejin Choi
2023	—	`conf`	Architecting Novel Interactions with Generative AI Models. UIST (Adjunct Volume) Michael S. Bernstein, Joon Sung Park, Meredith Ringel Morris, Saleema Amershi, Lydia B. Chilton, Mitchell L. Gordon
2023	J	`jnl`	Cura: Curation at Social Media Scale. CoRR Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
2023	J	`jnl`	Cura: Curation at Social Media Scale. Proc. ACM Hum. Comput. Interact. Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
2022	J	`jnl`	End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
2022	A*	`conf`	Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2022	J	`jnl`	Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2021	—	`conf`	Harnessing Disagreement to Create AI-Powered Systems That Reflect Our Values. UIST (Adjunct Volume) Mitchell L. Gordon
2021	A*	`conf`	The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
2021	J	`jnl`	Visual Intelligence through Human Interaction. CoRR Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein
2019	A*	`conf`	App Usage Predicts Cognitive Ability in Older Adults. CHI Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel
2019	J	`jnl`	Approximating Human Judgment of Generated Image Quality. CoRR Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao, Mitchell L. Gordon, Stefano Ermon
2019	A*	`conf`	Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW Mitchell L. Gordon, Tim Althoff, Jure Leskovec
2019	J	`jnl`	Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR Mitchell L. Gordon, Tim Althoff, Jure Leskovec
2019	A*	`conf`	HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein
2019	J	`jnl`	HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
2019	—	`conf`	HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
2019	A*	`conf`	Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following. CHI Mitchell L. Gordon, Shumin Zhai
2017	—	`conf`	Automatically Visualizing Audio Travel Podcasts. UIST (Adjunct Volume) Jihyeon Janel Lee, Mitchell L. Gordon, Maneesh Agrawala
2017	B	`conf`	CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. HCOMP Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki
2016	—	`conf`	Coding Varied Behavior Types Using the Crowd. CSCW Companion Jinyeong Yim, Jeel Jasani, Aubrey Henderson, Danai Koutra, Steven Dow, Winnie Leung, Ellen Lim, Mitchell L. Gordon, Jeffrey P. Bigham, Walter S. Lasecki
2016	A*	`conf`	WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding. CHI Mitchell L. Gordon, Tom Ouyang, Shumin Zhai
2015	B	`conf`	Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. VL/HCC Mitchell L. Gordon, Philip J. Guo
2015	A*	`conf`	Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding. CHI Walter S. Lasecki, Mitchell L. Gordon, Winnie Leung, Ellen Lim, Jeffrey P. Bigham, Steven P. Dow
2015	—	`conf`	LegionTools: A Toolkit + UI for Recruiting and Routing Crowds to Synchronous Real-Time Tasks. UIST (Adjunct Volume) Mitchell L. Gordon, Jeffrey P. Bigham, Walter S. Lasecki
2015	B	`conf`	Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. VL/HCC Joyce Zhu, Jeremy Warner, Mitchell L. Gordon, Jeffery White, Renan Zanelatto, Philip J. Guo
2014	B	`conf`	Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video. HCOMP Mitchell L. Gordon, Walter S. Lasecki, Winnie Leung, Ellen Lim, Steven P. Dow, Jeffrey P. Bigham
2014	—	`conf`	Glance: enabling rapid interactions with data using the crowd. CHI Extended Abstracts Walter S. Lasecki, Mitchell L. Gordon, Steven P. Dow, Jeffrey P. Bigham
2014	A*	`conf`	Glance: rapidly coding behavioral video with the crowd. UIST Walter S. Lasecki, Mitchell L. Gordon, Danai Koutra, Malte F. Jung, Steven P. Dow, Jeffrey P. Bigham
2014	A	`conf`	Web accessibility evaluation with the crowd: using glance to rapidly code user testing video. ASSETS Mitchell L. Gordon