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2020 – today
- 2026
[c30]Longjie Guo
, Chenjie Yuan, Mingyuan Zhong, Robert Wolfe, Ruican Zhong, Yue Xu, Bingbing Wen, Hua Shen, Lucy Lu Wang, Alexis Hiniker:
SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents. IUI 2026: 1917-1937- 2025
- [j4]Jaewon Kim, Soobin Cho, Robert Wolfe, Jishnu Hari Nair, Alexis Hiniker:
Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media. Proc. ACM Hum. Comput. Interact. 9(2): 1-39 (2025) - [j3]Aayushi Dangol, Robert Wolfe, Akeiylah DeWitt, Ben Chickadel, Julie A. Kientz, Sayamindu Dasgupta:
Reading AI and Reading the World: Using an Interactive AI System to Promote Children's Understanding of AI Bias. ACM Trans. Comput. Hum. Interact. 32(6): 66:1-66:30 (2025) - [c29]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. ACL (Findings) 2025: 25655-25672 - [c28]Aayushi Dangol, Robert Wolfe, Runhua Zhao, JaeWon Kim, Trushaa Ramanan, Katie Davis, Julie A. Kientz:
Children's Mental Models of AI Reasoning: Implications for AI Literacy Education. IDC 2025: 106-123 - [c27]Aayushi Dangol, Runhua Zhao, Robert Wolfe, Trushaa Ramanan, Julie A. Kientz, Jason C. Yip:
"AI just keeps guessing": Using ARC Puzzles to Help Children Identify Reasoning Errors in Generative AI. IDC 2025: 444-464 - [c26]Aayushi Dangol, Robert Wolfe, Daeun Yoo, Arya Thiruvillakkat, Ben Chickadel, Julie A. Kientz:
If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI. IDC 2025: 872-877 - [c25]Ishita Chordia, Robert Wolfe, Jason Yip, Alexis Hiniker:
Building the Beloved Community: Designing Technologies for Neighborhood Safety. CHI 2025: 838:1-838:18 - [c24]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. ICML 2025 - [c23]JaeWon Kim, Robert Wolfe, Ramya Bhagirathi Subramanian, Mei-Hsuan Lee, Jessica Colnago, Alexis Hiniker:
Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation. SOUPS 2025: 495-514 - [i29]JaeWon Kim, Robert Wolfe, Ramya Bhagirathi Subramanian, Mei-Hsuan Lee, Jessica Colnago, Alexis Hiniker:
Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation. CoRR abs/2502.19082 (2025) - [i28]Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe:
Fragments to Facts: Partial-Information Fragment Inference from LLMs. CoRR abs/2505.13819 (2025) - [i27]Aayushi Dangol, Robert Wolfe, Runhua Zhao, JaeWon Kim, Trushaa Ramanan, Katie Davis, Julie A. Kientz:
Children's Mental Models of AI Reasoning: Implications for AI Literacy Education. CoRR abs/2505.16031 (2025) - [i26]Aayushi Dangol, Runhua Zhao, Robert Wolfe, Trushaa Ramanan, Julie A. Kientz, Jason C. Yip:
"AI just keeps guessing": Using ARC Puzzles to Help Children Identify Reasoning Errors in Generative AI. CoRR abs/2505.16034 (2025) - [i25]Aayushi Dangol, Robert Wolfe, Daeun Yoo, Arya Thiruvillakkat, Ben Chickadel, Julie A. Kientz:
"If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI. CoRR abs/2505.16089 (2025) - [i24]Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. CoRR abs/2506.00582 (2025) - [i23]Bin Han, Robert Wolfe, Anat Caspi, Bill Howe:
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses. CoRR abs/2508.05009 (2025) - [i22]Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas M. Weber, Robert Wolfe:
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective. CoRR abs/2508.06760 (2025) - [i21]Robert Wolfe, Aayushi Dangol, JaeWon Kim, Alexis Hiniker:
Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication. CoRR abs/2508.11149 (2025) - [i20]Natalia Kucirkova, Alexis Hiniker, Megumi Ishikawa, Sho Tsuji, Aayushi Dangol, Robert Wolfe:
Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing. CoRR abs/2508.14787 (2025) - [i19]Longjie Guo, Chenjie Yuan, Mingyuan Zhong, Robert Wolfe, Ruican Zhong, Yue Xu, Bingbing Wen, Hua Shen, Lucy Lu Wang, Alexis Hiniker:
SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents. CoRR abs/2510.11035 (2025) - [i18]Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason C. Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis:
Relief or displacement? How teachers are negotiating generative AI's role in their professional practice. CoRR abs/2510.18296 (2025) - 2024
- [j2]Jaewon Kim, Robert Wolfe, Ishita Chordia, Katie Davis, Alexis Hiniker:
"Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-32 (2024) - [c22]Aayushi Dangol, Michele Newman, Robert Wolfe, Jin Ha Lee, Julie A. Kientz, Jason C. Yip, Caroline Pitt:
Mediating Culture: Cultivating Socio-cultural Understanding of AI in Children through Participatory Design. Conference on Designing Interactive Systems 2024 - [c21]Robert Wolfe:
Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI. AIES (2) 2024: 55-57 - [c20]Robert Wolfe, Tanushree Mitra:
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations. AIES (1) 2024: 1595-1607 - [c19]Robert Wolfe, Alexis Hiniker, Bill Howe:
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. AIES (1) 2024: 1608-1620 - [c18]Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker:
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. AIES (1) 2024: 1621-1634 - [c17]Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe:
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. AIES (1) 2024: 1635-1647 - [c16]Yiwei Yang, Anthony Z. Liu, Robert Wolfe, Aylin Caliskan, Bill Howe:
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation. CVPR 2024: 12426-12434 - [c15]Robert Wolfe, Alexis Hiniker:
Expertise Fog on the GPT Store: Deceptive Design Patterns in User-Facing Generative AI. DDPCHI@CHI 2024 - [c14]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024: 1199-1210 - [c13]Robert Wolfe, Tanushree Mitra:
The Impact and Opportunities of Generative AI in Fact-Checking. FAccT 2024: 1531-1543 - [i17]Robert Wolfe, Tanushree Mitra:
The Impact and Opportunities of Generative AI in Fact-Checking. CoRR abs/2405.15985 (2024) - [i16]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR abs/2405.16820 (2024) - [i15]Robert Wolfe, Aayushi Dangol, Alexis Hiniker, Bill Howe:
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI. CoRR abs/2408.01959 (2024) - [i14]Robert Wolfe, Aayushi Dangol, Bill Howe, Alexis Hiniker:
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study. CoRR abs/2408.01961 (2024) - [i13]Robert Wolfe, Tanushree Mitra:
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations. CoRR abs/2408.01962 (2024) - [i12]Robert Wolfe, Alexis Hiniker, Bill Howe:
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science. CoRR abs/2408.01966 (2024) - [i11]JaeWon Kim, Robert Wolfe, Ishita Chordia, Katie Davis, Alexis Hiniker:
"Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design. CoRR abs/2408.02883 (2024) - [i10]JaeWon Kim, Soobin Cho, Robert Wolfe, Jishnu Hari Nair, Alexis Hiniker:
Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media. CoRR abs/2410.16137 (2024) - 2023
- [c12]Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan:
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. AIES 2023: 542-553 - [c11]Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan:
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. FAccT 2023: 1174-1185 - [i9]Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan:
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. CoRR abs/2307.03360 (2023) - 2022
- [c10]Robert Wolfe, Aylin Caliskan:
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. AAAI 2022: 11477-11485 - [c9]Robert Wolfe, Aylin Caliskan:
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. ACL (1) 2022: 3050-3061 - [c8]Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji:
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. AIES 2022: 156-170 - [c7]Robert Wolfe, Aylin Caliskan:
American == White in Multimodal Language-and-Image AI. AIES 2022: 800-812 - [c6]Robert Wolfe, Aylin Caliskan:
Markedness in Visual Semantic AI. FAccT 2022: 1269-1279 - [c5]Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan:
Evidence for Hypodescent in Visual Semantic AI. FAccT 2022: 1293-1304 - [c4]Robert Wolfe, Aylin Caliskan:
Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings. ICSC 2022: 91-98 - [i8]Robert Wolfe, Aylin Caliskan:
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. CoRR abs/2203.07504 (2022) - [i7]Robert Wolfe, Aylin Caliskan:
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. CoRR abs/2203.07511 (2022) - [i6]Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan:
Evidence for Hypodescent in Visual Semantic AI. CoRR abs/2205.10764 (2022) - [i5]Robert Wolfe, Aylin Caliskan:
Markedness in Visual Semantic AI. CoRR abs/2205.11378 (2022) - [i4]Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji:
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. CoRR abs/2206.03390 (2022) - [i3]Robert Wolfe, Aylin Caliskan:
American == White in Multimodal Language-and-Image AI. CoRR abs/2207.00691 (2022) - [i2]Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan:
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. CoRR abs/2212.11261 (2022) - 2021
- [c3]Robert Wolfe, Aylin Caliskan:
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. EMNLP (1) 2021: 518-532 - [i1]Robert Wolfe, Aylin Caliskan:
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. CoRR abs/2110.00672 (2021)
2000 – 2009
- 2009
- [c2]Rebecca Guenther, Robert Wolfe:
Integrating Metadata Standards to Support Long-Term Preservation of Digital Assets: Developing Best Practices for Expressing Preservation Metadata in a Container Format. iPRES 2009 - 2006
- [j1]William Reilly, Robert Wolfe, MacKenzie Smith:
MIT's CWSpace project: packaging metadata for archiving educational content in DSpace. Int. J. Digit. Libr. 6(2): 139-147 (2006)
1990 – 1999
- 1997
- [c1]Robert Wolfe, Denis Laurendeau:
Modelling Interreflections in a System Based on the Differential Absorption of Light (DAL) for the Measurement of Range Images. IPMI 1997: 507-512
Coauthor Index
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