| QG-net: a data-driven question generation model for educational content Z Wang, AS Lan, W Nie, AE Waters, PJ Grimaldi, RG Baraniuk L@S 2018, 1-10, 2018 | 103 | 2018 |
| The Recurrent Neural Tangent Kernel S Alemohammad, Z Wang, R Balestriero, RG Baraniuk ICLR 2021, 2021 | 82 | 2021 |
| Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ... arXiv preprint arXiv:2007.12061, 2020 | 79 | 2020 |
| Towards Human-Like Educational Question Generation with Large Language Models Z Wang, J Valdez, D Basu Mallick, RG Baraniuk AIED 2022, 153-166, 2022 | 71 | 2022 |
| AutoDAN: Automatic and interpretable adversarial attacks on large language models S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ... arXiv preprint arXiv:2310.15140, 2023 | 63* | 2023 |
| Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints Z Wang, AS Lan, RG Baraniuk EMNLP 2021, 5986–5999, 2021 | 40 | 2021 |
| Open-ended knowledge tracing for computer science education N Liu, Z Wang, R Baraniuk, A Lan EMNLP 2022, 3849-3862, 2022 | 34 | 2022 |
| Retrieval-based Controllable Molecule Generation Z Wang, W Nie, Z Qiao, C Xiao, R Baraniuk, A Anandkumar ICLR 2023, 2023 | 31 | 2023 |
| Automated scoring for reading comprehension via in-context bert tuning N Fernandez, A Ghosh, N Liu, Z Wang, B Choffin, R Baraniuk, A Lan AIED 2022, 691-697, 2022 | 30 | 2022 |
| A Max-Affine Spline Perspective of Recurrent Neural Networks Z Wang, R Balestriero, RG Baraniuk ICLR 2019, 2019 | 21 | 2019 |
| A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading Z Wang, AS Lan, AE Waters, P Grimaldi, RG Baraniuk EDM 2019, 2019 | 19 | 2019 |
| Scientific Formula Retrieval via Tree Embeddings Z Wang, M Zhang, RG Baraniuk, AS Lan IEEE BigData 2021, 1493-1503, 2021 | 18* | 2021 |
| Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ... NeurIPS 2020 Competition and Demonstration Track 133 (PMLR), 191-205, 2021 | 18 | 2021 |
| Educational Question Mining At Scale: Prediction, Analysis and Personalization Z Wang, S Tschiatschek, S Woodhead, JM Hernández-Lobato, SP Jones, ... AAAI-EAAI 2021, 2021 | 15* | 2021 |
| VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics Z Wang, Y Gu, A Lan, RG Baraniuk EDM 2020, 2020 | 14 | 2020 |
| Constrained multi-channel linear prediction for adaptive speech dereverberation A Jukić, Z Wang, T van Waterschoot, T Gerkmann, S Doclo IWAENC 2016, 2016 | 12 | 2016 |
| DeepHull: Fast Convex Hull Approximation in High Dimensions R Balestriero, Z Wang, RG Baraniuk ICASSP 2022, 3888-3892, 2022 | 9 | 2022 |
| Interpretable Math Word Problem Solution Generation Via Step-by-step Planning M Zhang, Z Wang, Z Yang, W Feng, A Lan ACL 2023, 2023 | 8 | 2023 |
| Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank NA Kumar, N Fernandez, Z Wang, A Lan BEA Workshop @ ACL, 2023, 2023 | 8 | 2023 |
| Math Operation Embeddings for Open-ended Solution Analysis and Feedback M Zhang, Z Wang, R Baraniuk, A Lan EDM 2021, 2021 | 8 | 2021 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityPotvrđena adresa e-pošte na rice.edu
