Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors. - Rabin Banjade; Priti Oli; Lasang Jimba Tamang; Jeevan Chapagain; Vasile Rus (FLAIRS, 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; et al. (CoRR, 2021)

Automatic Question Generation for Scaffolding Self-explanations for Code Comprehension. - Lasang Jimba Tamang; Rabin Banjade; Jeevan Chapagain; Vasile Rus (AIED (1), 2022)

Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks. - Rabin Banjade; Priti Oli; Lasang Jimba Tamang; Vasile Rus (EDM, 2022)

Automated Assessment of Student Self-explanation During Source Code Comprehension. - Jeevan Chapagain; Lasang Jimba Tamang; Rabin Banjade; Priti Oli; Vasile Rus (FLAIRS, 2022)

Improving Code Comprehension Through Scaffolded Self-explanations. - Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Jeevan Chapagain; Lasang Jimba Tamang; Peter Brusilovsky; Vasile Rus (AIED (Posters/Late Breaking Results/...), 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 (FLAIRS, 2023)

Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems. - Rabin Banjade; Priti Oli; Vasile Rus (ITS, 2023)

The Behavior of Large Language Models When Prompted to Generate Code Explanations. - Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Identifying Gaps in Students' Explanations of Code Using LLMs. - Rabin Banjade; Priti Oli; Mahmudul Islam Sajib; Vasile Rus (AIED (2), 2024)

Exploring The Effectiveness of Reading vs. Tutoring For Enhancing Code Comprehension For Novices. - Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky; Vasile Rus (SAC, 2024)

Automated Assessment of Students' Code Comprehension using LLMs. - Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus (CoRR, 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)

Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations? - Priti Oli; Rabin Banjade; Andrew M. Olney; Vasile Rus (CoRR, 2025)