Rabin Banjade

According to our database, Rabin Banjade authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining Code Examples in Introductory Programming Courses: LLM vs Humans.

Arun Balajiee Lekshmi Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus

CoRR, 2024

Automated Assessment of Students' Code Comprehension using LLMs.

Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus

CoRR, 2024

2023

The Behavior of Large Language Models When Prompted to Generate Code Explanations.

Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus

CoRR, 2023

Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems.

Rabin Banjade, Priti Oli, Vasile Rus

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension.

Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Improving Code Comprehension Through Scaffolded Self-explanations.

Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Automated Assessment of Student Self-explanation During Source Code Comprehension.

Jeevan Chapagain, Lasang Jimba Tamang, Rabin Banjade, Priti Oli, Vasile Rus

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks.

Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Vasile Rus

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Automatic Question Generation for Scaffolding Self-explanations for Code Comprehension.

Lasang Jimba Tamang, Rabin Banjade, Jeevan Chapagain, Vasile Rus

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.

CoRR, 2021

Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors.

Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Jeevan Chapagain, Vasile Rus

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021