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Priti Oli
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
6932022
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
652021
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
16*2021
A comparative study of free self-explanations and socratic tutoring explanations for source code comprehension
LJ Tamang, Z Alshaikh, NA Khayi, P Oli, V Rus
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
92021
Domain model discovery from textbooks for computer programming intelligent tutors
R Banjade
he International FLAIRS Conference Proceedings, 34., 2021
62021
Improving code comprehension through scaffolded self-explanations
P Oli, R Banjade, AB Lekshmi Narayanan, J Chapagain, LJ Tamang, ...
International Conference on Artificial Intelligence in Education, 478-483, 2023
32023
Preliminary experiments with transformer based approaches to automatically inferring domain models from textbooks
R Banjade, P Oli, LJ Tamang, V Rus
Proceedings of the 15th International Conference on Educational Data Mining, 2022
22022
The Behavior of Large Language Models When Prompted to Generate Code Explanations
P Oli, R Banjade, J Chapagain, V Rus
NeurIPS'23 Workshop on Generative AI for Education (GAIED), 2023
12023
Automated Assessment of Student Self-explanation During Source Code Comprehension
J Chapagain, L Tamang
The International FLAIRS Conference Proceedings 35, 2022
12022
Automated assessment of quality of Jupyter Notebooks using artificial intelligence and big code
P Oli, R Banjade, LJ Tamang, V Rus
The International FLAIRS Conference Proceedings 34, 2021
12021
Automated Assessment of Students' Code Comprehension using LLMs
P Oli, R Banjade, J Chapagain, V Rus
arXiv preprint arXiv:2401.05399, 2023
2023
Explaining code examples in introductory programming courses: Llm vs humans
P Brusilovsky, AB Lekshmi-Narayanan, P Oli, J Chapagain, M Hassany, ...
arXiv preprint arXiv:2403.05538, 2023
2023
Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems
R Banjade, P Oli, V Rus
International Conference on Intelligent Tutoring Systems, 124-136, 2023
2023
Check for updates Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems
R Banjade, P Oli, V Rus
Augmented Intelligence and Intelligent Tutoring Systems: 19th International …, 2023
2023
SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-explanation during Source Code Comprehension
J Chapagain, Z Risha, R Banjade, P Oli, L Tamang, P Brusilovsky, V Rus
The International FLAIRS Conference Proceedings 36, 2023
2023
When is Reading More Effective than Tutoring? An Analysis Through the Lens of Students' Self-Efficacy among Novices in Computer Science
P Oli, R Banjade, AB Narayanan, P Brusilovsky, V Rus
Proceedings of 7th Educational Data Mining in Computer Science Education …, 2023
2023
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