Arav Agarwal

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Learning Objectives

Smoothing Methods

Programming Course

Top Venues

Publications

Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. CoRR (2024)
Arav Agarwal, Karthik Mittal, Aidan Doyle, Pragnya Sridhar, Zipiao Wan, Jacob Arthur Doughty, Jaromír Savelka, Majd Sakr
Understanding the Role of Temperature in Diverse Question Generation by GPT-4. SIGCSE (2) (2024)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE (2024)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR (2023)
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Arav Agarwal, Yun Cheng, Louis-Philippe Morency, Ruslan Salakhutdinov
MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning. CoRR (2023)
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Arav Agarwal, Yun Cheng, Louis-Philippe Morency, Ruslan Salakhutdinov
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning. J. Mach. Learn. Res. 24 (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR (2023)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR (2023)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? ITiCSE (1) (2023)
Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education. CoRR (2023)
Jaromír Savelka, Arav Agarwal, Marshall An, Chris Bogart, Majd Sakr
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses. ICER (1) (2022)