The Behavior of Large Language Models When Prompted to Generate Code Explanations! Permalink
Published in NeurIPS'23 GAIED, 2023
Recommended citation: Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus
Published in NeurIPS'23 GAIED, 2023
Recommended citation: Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus
Published in Intelligent Tutoring Systems: 19th International Conference, ITS 2023, 2023
Recommended citation: Banjade, Rabin, Priti Oli, and Vasile Rus. 'Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems.' In International Conference on Intelligent Tutoring Systems, pp. 124-136. Cham: Springer Nature Switzerland, 2023.
Published in The International FLAIRS Conference Proceedings 36, 2023
Recommended citation: Chapagain, Jeevan, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, and Vasile Rus. 'SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension.' In The International FLAIRS Conference Proceedings, vol. 36. 2023.
Published in The International FLAIRS Conference Proceedings 35, 2023
Recommended citation: Chapagain, Jeevan, Lasang Tamang, Rabin Banjade, Priti Oli, and Vasile Rus. 'Automated Assessment of Student Self-explanation During Source Code Comprehension.' In The International FLAIRS Conference Proceedings, vol. 35. 2022.6
Published in Proceedings of the 15th International Conference on Educational Data Mining, 2022
Recommended citation: Banjade, Rabin, Priti Oli, Lasang Jimba Tamang, and Vasile Rus. 'Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks.' In Proceedings of the 15th International Conference on Educational Data Mining, p. 667. 2022.
Published in Proceedings of the International Conference on Artificial Intelligence in Education., 2022
Recommended citation: Oli, P., Banjade, R., Lekshmi Narayanan, A. B., Chapagain, J., Tamang, L. J., Brusilovsky, P., & Rus, V. (2023, June). Improving Code Comprehension Through Scaffolded Self-explanations. In International Conference on Artificial Intelligence in Education (pp. 478-483). Cham: Springer Nature Switzerland.
Published in arXiv preprint arXiv:2112.02721, 2022
Recommended citation: Srivastava, Aarohi, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown et al. 'Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.' arXiv preprint arXiv:2206.04615 (2022).
Published in arXiv preprint arXiv:2112.02721, 2021
Recommended citation: Dhole, Kaustubh D., Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran et al. 'Nl-augmenter: A framework for task-sensitive natural language augmentation.' arXiv preprint arXiv:2112.02721 (2021).
Published in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. 2021, 2021
Recommended citation: Tamang, Lasang Jimba, Zeyad Alshaikh, Nisrine Ait Khayi, Priti Oli, and Vasile Rus. 'A comparative study of free self-explanations and socratic tutoring explanations for source code comprehension.' In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, pp. 219-225. 2021.
Published in The International FLAIRS Conference Proceedings 2021, 2021
Recommended citation: Banjade, Rabin, Priti Oli, Lasang Jimba Tamang, Jeevan Chapagain, and Vasile Rus. 'Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors.'
Published in The International FLAIRS Conference Proceedings 2021, 2021
Recommended citation: Oli, Priti, Rabin Banjade, Lasang Jimba Tamang, and Vasile Rus. 'Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code.' In The International FLAIRS Conference Proceedings, vol. 34. 2021.