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Aysa Xuemo Fan
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2020 – today
- 2024
- [i4]Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Jiaze Ke:
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers. CoRR abs/2409.14368 (2024) - 2023
- [j2]Yingbin Zhang, Luc Paquette, Juan D. Pinto, Aysa Xuemo Fan:
Utilizing programming traces to explore and model the dimensions of novices' code-writing skill. Comput. Appl. Eng. Educ. 31(4): 1041-1058 (2023) - [j1]Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan:
Combining latent profile analysis and programming traces to understand novices' differences in debugging. Educ. Inf. Technol. 28(4): 4673-4701 (2023) - [c5]Haoran Zhang, Aysa Xuemo Fan, Rui Zhang:
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining. EACL 2023: 1933-1945 - [c4]Aysa Xuemo Fan, Haoran Zhang, Luc Paquette, Rui Zhang:
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses. EMNLP (Findings) 2023: 7406-7421 - [c3]Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan:
Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. ICQE 2023: 125-139 - [i3]Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang:
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses. CoRR abs/2310.15317 (2023) - 2022
- [i2]Haoran Zhang, Aysa Xuemo Fan, Rui Zhang:
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining. CoRR abs/2210.07587 (2022) - 2021
- [c2]Juan D. Pinto, Yingbin Zhang, Luc Paquette, Aysa Xuemo Fan:
Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper). EDM (Workshops) 2021 - 2020
- [c1]Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. EMNLP (Findings) 2020: 236-246 - [i1]Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. CoRR abs/2009.07503 (2020)
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last updated on 2024-10-16 20:32 CEST by the dblp team
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