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ORCIDSimon Woodhead 0002
Person information
- affiliation: Eedi
Other persons with the same name
- Simon Woodhead 0001 — Simwood
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2020 – today
- 2024
[c9]Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. AIED (1) 2024: 280-294- [c8]Alexander Scarlatos, Wanyong Feng, Andrew S. Lan, Simon Woodhead, Digory Smith:
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. BEA 2024: 222-231 - [c7]Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan:
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. EDM 2024 - [c6]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. NAACL-HLT (Findings) 2024: 3067-3082 - [i14]Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. CoRR abs/2403.01304 (2024) - [i13]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 abs/2404.02124 (2024) - [i12]Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan:
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. CoRR abs/2405.00864 (2024) - [i11]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 abs/2405.05144 (2024) - [i10]Nigel Fernandez, Alexander Scarlatos, Simon Woodhead, Andrew S. Lan:
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. CoRR abs/2406.19356 (2024) - 2023
- [c5]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: 26-31 - [i9]Hunter McNichols, Wanyong Feng, Jaewook Lee, Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning. CoRR abs/2308.03234 (2023) - [i8]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 abs/2310.02439 (2023) - 2022
- [c4]Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis:
CoRGi: Content-Rich Graph Neural Networks with Attention. KDD 2022: 773-783 - [c3]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 - [i7]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 abs/2208.12610 (2022) - 2021
- [c2]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: 15669-15677 - [i6]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 abs/2104.04034 (2021) - [i5]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 abs/2104.05860 (2021) - [i4]Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis:
CoRGi: Content-Rich Graph Neural Networks with Attention. CoRR abs/2110.04866 (2021) - [i3]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 abs/2110.08223 (2021) - 2020
- [c1]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: 191-205 - [i2]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 abs/2003.05980 (2020) - [i1]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 abs/2007.12061 (2020)
Coauthor Index
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