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2020 – today
- 2025
[c5]Jadon Geathers
, Yann Hicke, Colleen E. Chan, Niroop Rajashekar, Sarah Young, Justin Sewell, Susannah Cornes, René F. Kizilcec, Dennis L. Shung:
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs). AIED (3) 2025: 231-245- [i9]Jadon Geathers, Yann Hicke, Colleen E. Chan, Niroop Rajashekar, Justin Sewell, Susannah Cornes, René F. Kizilcec, Dennis L. Shung:
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs). CoRR abs/2501.13957 (2025) - [i8]Yann Hicke, Jadon Geathers, Niroop Rajashekar, Colleen E. Chan, Anyanate Gwendolyne Jack, Justin Sewell, Mackenzi Preston, Susannah Cornes, Dennis L. Shung, René F. Kizilcec:
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education. CoRR abs/2503.05793 (2025) - 2024
- [j1]Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec:
The life cycle of large language models in education: A framework for understanding sources of bias. Br. J. Educ. Technol. 55(5): 1982-2002 (2024) - [c4]Joy Yun, Yann Hicke, Mariah Olson, Dorottya Demszky:
Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring. L@S 2024: 422-426 - [i7]Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec:
The Life Cycle of Large Language Models: A Review of Biases in Education. CoRR abs/2407.11203 (2024) - 2023
- [c3]Iddo Drori, Sarah J. Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander E. Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, Armando Solar-Lezama:
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level. AAAI 2023: 15921-15929 - [c2]Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu:
Assessing the efficacy of large language models in generating accurate teacher responses. BEA@ACL 2023: 745-755 - [c1]Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell:
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD 2023: 3947-3955 - [i6]Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu:
Assessing the efficacy of large language models in generating accurate teacher responses. CoRR abs/2307.04274 (2023) - [i5]Yann Hicke, Tonghua Tian, Karan Jha, Choong Hee Kim:
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant. CoRR abs/2307.04276 (2023) - [i4]Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny:
ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs. CoRR abs/2311.02775 (2023) - [i3]Yann Hicke:
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students. CoRR abs/2311.14707 (2023) - 2022
- [i2]Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori:
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. CoRR abs/2206.05442 (2022) - [i1]Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori:
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR abs/2211.12112 (2022)
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