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2020 – today
- 2024
[c7]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: 114-123- [c6]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: 1550-1551 - [c5]Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromír Savelka, Majd Sakr:
A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. SIGCSE Virtual (1) 2024 - [i8]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 abs/2404.09366 (2024) - 2023
- [j1]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: 234:1-234:7 (2023) - [c4]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: 139-150 - [c3]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions About Code. CSEDU (2) 2023: 47-58 - [c2]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) 2023: 78-92 - [c1]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: 117-123 - [i7]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Majd Sakr:
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code. CoRR abs/2303.08033 (2023) - [i6]Jaromír Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr:
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? CoRR abs/2303.09325 (2023) - [i5]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 abs/2306.10073 (2023) - [i4]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 abs/2306.16413 (2023) - [i3]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 abs/2306.17459 (2023) - [i2]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 abs/2311.09518 (2023) - [i1]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 abs/2312.03173 (2023)
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