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Specializations

  • Natural Language Processing
  • AI Ethics
  • Machine Learning

Biography

Robert Wolfe is a Ph.D. Student at the Information School studying machine representations of semantics in language and multimodal domains.

Education

  • MS, Computer Science, The George Washington University, 2021
  • MA, English Literature, Georgetown University, 2014
  • BA, English Literature, University of Maryland, 2012

Memberships

  • Association for Computational Linguistics
  • Association for Computing Machinery

Publications and Contributions

  • preprint
    Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media (2026)
    Authors: Katelyn X. Mei, Robert Wolfe, Nicholas Weber, Martin Saveski
  • Conference Paper
    Relief or Displacement? How Teachers are Negotiating Generative AI’s Role in their Professional Practice (2026)
    ACM Conference on Human Factors in Computing Systems (CHI 2026) Authors: Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex Bowers, Antonio Vigil, Jason Yip, Julie Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katharine Davis
  • Conference Paper
    (2025)
    CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp. Article No. 838; p. 1–18 Authors: Ishita Chordia, Robert Wolfe, Jason Yip, Alexis Hiniker
  • Conference Paper
    Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses (2025)
    Conference on Language Models (COLM '25) Authors: Bin Han, Robert Wolfe, Anat Caspi, William G Howe
  • Guest Blog
    (2025)
    Jacobs Foundation Blog on Learning and Development (BOLD) Authors: Natalie Kucirkova, Alexis Hiniker, Sho Tsuji, Robert Wolfe, Aayushi Dangol, Megumi Ishikawa
  • Conference Paper
    Children's mental models of AI reasoning: Implications for AI literacy education (2025)
    Proceedings of the ACM SIGCHI Conference on Interaction Design and Children (IDC '25), pp. 106-123 Authors: Aayushi Dangol, Robert Wolfe, Runhua Zhao, JaeWon Kim, Trushaa Ramanan, Katharine Davis, Julie A. Kientz
  • Conference Paper
    Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs (2025)
    Transactions of the Association for Computational Linguistics (ACL '25) Authors: Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Wang, William G Howe
  • Conference Poster
    (2025)
    International Conference on Machine Learning (ICML '25) Authors: Lucas Rosenblatt, Bin Han, Robert Wolfe, William G Howe
  • Journal Article, Academic Journal
    (2025)
    Proceedings of the ACM on Human-Computer Interaction, 9(2), pp. 1-39 Authors: JaeWon Kim, Soobin Cho, Robert Wolfe, Jishnu Hari Nair, Alexis Hiniker
  • Conference Paper
    Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication (2025)
    Proceedings of the 2025 AAAI/ACM Conference on AI, Ethics, and Society (AIES '25), 8(3), pp. 2718-2729 Authors: Robert Wolfe, Aayushi Dangol, JaeWon Kim, Alexis Hiniker
  • Conference Paper
    Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation (2025)
    Proceedings of the 21st Symposium on Usable Privacy and Security (SOUPS '25) Authors: JaeWon Kim, Robert Wolfe, Ramya Bhagirathi Subramanian, Mei-Hsuan Lee, Jessica Colnago, Alexis Hiniker
  • Conference Paper
    Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective (2025)
    2025 AAAI/ACM Conference on AI Ethics and Society Authors: Sarah Tran, Hongen Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, William G Howe, Alexis Hiniker, Nicholas Weber, Robert Wolfe
  • Conference Paper
    (2025)
    IDC '25: Proceedings of the 24th Interaction Design and Children, pp. 444–464 Authors: Aayushi Dangol, Runhua Zhao, Robert Wolfe, Trushaa Ramanan, Julie A. Kientz, Jason Yip
  • Journal Article, Academic Journal
    (2024)
    Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), pp. 1-32, ISBN/ISSN: 2573-0142 Authors: JaeWon Kim, Robert Wolfe, Ishita Chordia, Katharine Davis, Alexis Hiniker
  • Journal Article, Academic Journal
    (2024)
    Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1635-1647, ISBN/ISSN: 3065-8365 Authors: Robert Wolfe, Aayushi Dangol, Alexis Hiniker, William G Howe
  • Workshop Paper
    (2024)
    Invited participant at the Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices Workshop at the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24) Authors: Robert Wolfe, Alexis Hiniker
  • Conference Poster
    (2024)
    Conference on Computer Vision and Pattern Recognition (CVPR 2024) Authors: Yiwei Yang, Anthony Zhe Liu, Robert Wolfe, Aylin Caliskan, William G Howe
  • Conference Paper
    (2024)
    The 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1100-1210 Authors: Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva M Brown, Zening Qu, Nicholas Weber, William G Howe
  • Journal Article, Academic Journal
    (2024)
    Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1608-1620, ISBN/ISSN: 3065-8365 Authors: Robert Wolfe, Alexis Hiniker, William G Howe
  • Conference Paper
    (2024)
    Designing Interactive Systems Conference, pp. 1805-1822 Authors: Aayushi Dangol, Michele Newman, Robert Wolfe, Jin Ha Lee, Julie A. Kientz, Jason Yip, Caroline Pitt
  • Conference Paper
    Mediating culture: Cultivating socio-cultural understanding of AI in children through participatory design (2024)
    Proceedings of ACM Designing Interactive Systems, pp. 1805 - 1822 Authors: A. Dangol, Michele Newman, Robert Wolfe, Jin Ha Lee, Julie A. Kientz, Jason Yip, Caroline Pitt
  • Conference Workshop Paper
    Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration (2024)
    Workshop on Behavioral Machine Learning at the Conference on Neural Information Processing Systems (NeurIPS 2024) Authors: Bingbing Wen, Chenjun Xu, Bin Han, Robert Wolfe, Lucy Wang, William G Howe
  • Journal Article, Academic Journal
    (2024)
    Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), pp. 1621-1634, ISBN/ISSN: 3065-8365 Authors: Robert Wolfe, Aayushi Dangol, William G Howe, Alexis Hiniker
  • Conference Paper
    The Impact and Opportunities of Generative AI in Fact-Checking (2024)
    Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024) Authors: Robert Wolfe, Tanushree Mitra
  • Conference Paper
    The Societal Implications of Open Generative Models Through the Lens of Fact-Checking Organizations (2024)
    Proceedings of the AAAI Conference on AI, Ethics, and Society (AIES 2024) Authors: Robert Wolfe, Tanushree Mitra
  • Conference Paper
    Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias (2023)
    Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pp. 1174–1185 Authors: Robert Wolfe, Yiwei Yang, William G Howe, Aylin Caliskan
  • Conference Paper
    Evaluating Biased Attitude Associations of Language Models in an Intersectional Context (2023)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan
  • Conference Poster
    Regularizing Model Gradients with Concepts to Improve Robustness to Spurious Correlations (2023)
    Fortieth International Conference on Machine Learning Workshop on Spurious Correlations, Invariance, and Stability (ICML SCIS 2023) Authors: Yiwei Yang, Anthony Zhe Liu, Robert Wolfe, Aylin Caliskan, William G Howe
  • Conference Paper
    American == White in Multimodal Language-and-Image AI (2022)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)
    60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022 Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings (2022)
    16th IEEE International Conference on Semantic Computing (ICSC 2022) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Evidence for Hypodescent in Visual Semantic AI (2022)
    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 Authors: Robert Wolfe, Mahzarin Bahaji, Aylin Caliskan
  • Conference Paper
    Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics (2022)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R Banaji
  • Conference Paper
    Markedness in Visual Semantic AI (2022)
    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)
    Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models (2021)
    Empirical Methods in Natural Language Processing (EMNLP) Authors: Robert Wolfe , Aylin Caliskan

Presentations

  • Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)
    60th Annual Meeting of the Association for Computational Linguistics (ACL) - Dublin, Ireland