Publications and Contributions

• Conference Poster
  Label-Efficient Group Robustness via Out-of-Distribution Concept Curation (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
  Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings (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
• 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
• 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