Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. - Pragnya Sridhar; Aidan Doyle; Arav Agarwal; Christopher Bogart; Jaromír Savelka; Majd Sakr (LLM@AIED, 2023)

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Majd Sakr (CSEDU (2), 2023)

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. - Jaromír Savelka; Arav Agarwal; Marshall An; Chris Bogart; Majd Sakr (ICER (1), 2023)

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Yifan Song; Majd Sakr (ITiCSE (1), 2023)

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2023)

From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. - Jaromír Savelka; Arav Agarwal; Christopher Bogart; Majd Sakr (CoRR, 2023)

MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu 001; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (J. Mach. Learn. Res., 2023)

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. - Jacob Doughty; Zipiao Wan; Anishka Bompelli; Jubahed Qayum; Taozhi Wang; Juran Zhang; Yujia Zheng; Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Christopher Bogart; Eric Keylor; et al. (ACE, 2024)

Understanding the Role of Temperature in Diverse Question Generation by GPT-4. - Arav Agarwal; Karthik Mittal; Aidan Doyle; Pragnya Sridhar; Zipiao Wan; Jacob Arthur Doughty; Jaromír Savelka; Majd Sakr (SIGCSE (2), 2024)

A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. - Aninditha Ramesh; Arav Agarwal; Jacob Arthur Doughty; Ketan Ramaneti; Jaromír Savelka; Majd Sakr (SIGCSE Virtual (1), 2024)

Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? - Mohammad Hassany; Kamil Akhuseyinoglu; Arun Balajiee Lekshmi Narayanan; Arav Agarwal; Jaromír Savelka; Peter Brusilovsky (FLAIRS, 2025)

Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. - Mohammad Hassany; Peter Brusilovsky; Jaromír Savelka; Arun Balajiee Lekshmi Narayanan; Kamil Akhuseyinoglu; Arav Agarwal; Rully Agus Hendrawan (LAK, 2025)

AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce. - Jaromír Savelka; Can Kültür; Arav Agarwal; Christopher Bogart; Heather Burte; Adam Zhang; Majd Sakr (SIGCSE (1), 2025)

A comparative study of AI-generated and human-crafted learning objectives in computing education. - Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromír Savelka; Majd Sakr (J. Comput. Assist. Learn., 2025)