Simon Woodhead

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Automatically Generate

Manually Created

Multiple Choice

Top Venues

Publications

Nigel Fernandez, Alexander Scarlatos, Simon Woodhead, Andrew S. Lan
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. CoRR (2024)
Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. CoRR (2024)
Alexander Scarlatos, Wanyong Feng, Digory Smith, Simon Woodhead, Andrew S. Lan
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. CoRR (2024)
Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. CoRR (2024)
Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. AIED (1) (2024)
Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew S. Lan
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. CoRR (2024)
Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) (2023)
Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. CoRR (2023)
Hunter McNichols, Wanyong Feng, Jaewook Lee, Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan
Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning. CoRR (2023)
Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Simultaneous Missing Value Imputation and Structure Learning with Groups. NeurIPS (2022)
Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
Instructions and Guide: Causal Insights for Learning Paths in Education. CoRR (2022)
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis
CoRGi: Content-Rich Graph Neural Networks with Attention. KDD (2022)
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. CoRR (2021)
Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
CoRGi: Content-Rich Graph Neural Networks with Attention. CoRR (2021)
Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang
Contextual HyperNetworks for Novel Feature Adaptation. CoRR (2021)
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang
Educational Question Mining At Scale: Prediction, Analysis and Personalization. AAAI (2021)
Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang
VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups. CoRR (2021)
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang
Diagnostic Questions: The NeurIPS 2020 Education Challenge. CoRR (2020)
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. NeurIPS (Competition and Demos) (2020)
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Cheng Zhang
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. CoRR (2020)