Publications

• Fateme Hashemi Chaleshtori, Atreya Ghosal & Ana Marasović (2023). On Evaluating Explanation Utility for Human-AI Decision-Making in NLP. XAI in Action: Past, Present, and Future Applications Workshop co-located with NeurIPS 2023. Published, 12/16/2023.
  https://openreview.net/pdf?id=8BR8EaWNTZ
• Jacob K. Johnson & Ana Marasović (2023). How Much Consistency Is Your Accuracy Worth?. The Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP) co-located with EMNLP 2023. Published, 12/07/2023.
  https://aclanthology.org/2023.blackboxnlp-1.19/
• Jack Hessel, Ana Marasović, Jena D Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff & Yejin Choi (2023). Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest. ACL. Published, 07/09/2023.
  https://aclanthology.org/2023.acl-long.41/
• Alexis Ross, Matthew E. Peters & Ana Marasović (2022). Does Self-Rationalization Improve Robustness to Spurious Correlations. EMNLP 2022. Published, 12/07/2022.
  https://aclanthology.org/2022.emnlp-main.501/
• Shruti Palaskar, Akshita Bhagia, Yonatan Bisk, Florian Metze, Alan W Black & Ana Marasović (2022). On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. Findings of EMNLP. Published, 12/07/2022.
  https://aclanthology.org/2022.findings-emnlp.194/
• Abhilasha Ravichander, Matt Gardner & Ana Marasović (2022). CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. EMNLP. Published, 12/07/2022.
  https://aclanthology.org/2022.emnlp-main.598/
• Ana Marasović, Iz Beltagy, Doug Downey & Matthew E. Peters (2022). Few-Shot Self-Rationalization with Natural Language Prompts. Findings of NAACL. Published, 07/10/2022.
  https://aclanthology.org/2022.findings-naacl.31/

Presentations

• "Challenges in Fostering (Dis)Trust in AI" Keynote at the Workshop on "Trust Perspectives in Machine Learning, Law, and Public Policy'' organized by the Institute for Data, Econometrics, Algorithms, and Learning; located at Northwestern University. Invited Talk/Keynote, Presented, 10/01/2023.
• "We propose <insert an explainability method> to increase human trust in AI: What does this mean and how to go about it?" at University of Maryland. Invited Talk/Keynote, Presented, 04/01/2023.
• "AI That Masters Language Could Reason about Negation" University of Utah Data Science Seminar. Invited Talk/Keynote, Presented, 02/01/2023.