Jackie C. K. Cheung — accepted AI-conference papers

2024

How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes

Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban

AAAI 2024technical

Question generation (QG) is a natural language processing task with an abundance of potential benefits and use cases in the educational domain. In order for this potential to be realized, QG systems must be designed and validated with pedagogical needs in mind. However, little research has assessed…

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2024

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection

Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Camara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo

AAAI 2024technical

Out-of-distribution (OOD) detection is a rapidly growing field due to new robustness and security requirements driven by an increased number of AI-based systems. Existing OOD textual detectors often rely on anomaly scores (\textit{e.g.}, Mahalanobis distance) computed on the embedding output of the…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗