| Minimize exposure bias of seq2seq models in joint entity and relation extraction RH Zhang, Q Liu, AX Fan, H Ji, D Zeng, F Cheng, D Kawahara, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 236--246, 2020 | 47 | 2020 |
| Investigating elements of student persistence in an introductory computer science course JD Pinto, Y Zhang, L Paquette, AX Fan 5th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2021 | 8 | 2021 |
| Combining latent profile analysis and programming traces to understand novices’ differences in debugging Y Zhang, L Paquette, JD Pinto, Q Liu, AX Fan Education and Information Technologies 28 (4), 4673-4701, 2023 | 7 | 2023 |
| Utilizing programming traces to explore and model the dimensions of novices' code‐writing skill Y Zhang, L Paquette, JD Pinto, AX Fan Computer Applications in Engineering Education 31 (4), 1041-1058, 2023 | 4 | 2023 |
| Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course JD Pinto, Q Liu, L Paquette, Y Zhang, AX Fan International Conference on Quantitative Ethnography (ICQE), 2023 | 3 | 2023 |
| ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining RH Zhang, AX Fan, R Zhang Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 2 | 2023 |
| Using Problem Similarity-and Order-based Weighting to Model Learner Performance in Introductory Computer Science Problems Y Zhang, JD Pinto, AX Fan, L Paquette Journal of Educational Data Mining 15 (1), 63-99, 2023 | 2 | 2023 |
| Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses AX Fan, RH Zhang, L Paquette, R Zhang EMNLP 2023 Findings, 2023 | 1 | 2023 |
| Using LLM-based Filtering to Develop Reliable Coding Schemes for Rare Debugging Strategies AX Fan, Q Liu, L Paquette, J Pinto International Conference on Quantitative Ethnography (ICQE), 2024 | | 2024 |
| Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models AX Fan, RA Hendrawan, Y Shi, Q Ma Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
Luc PaquetteAssociate Professor, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
