Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank. - Nischal Ashok Kumar; Nigel Fernandez; Zichao Wang 001; Andrew S. Lan (BEA@ACL, 2023)

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. - Nischal Ashok Kumar; Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Aritra Ghosh 001; Andrew S. Lan (EDM, 2023)

Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems. - Nischal Ashok Kumar; Nitin Gupta 005; Shanmukha C. Guttula; Hima Patel (CoRR, 2023)

Improving Socratic Question Generation using Data Augmentation and Preference Optimization. - Nischal Ashok Kumar; Andrew S. Lan (BEA, 2024)

Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education. - Nischal Ashok Kumar; Andrew S. Lan (CoRR, 2024)

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. - Mingwen Dong; Nischal Ashok Kumar; Yiqun Hu; Anuj Chauhan; Chung-Wei Hang; Shuaichen Chang; Lin Pan 003; Wuwei Lan; Henghui Zhu; Jiarong Jiang; Patrick Ng; Zhiguo Wang (NAACL (Long Papers), 2025)

Whose story is it? Personalizing story generation by inferring author styles. - Nischal Ashok Kumar; Chau Minh Pham; Mohit Iyyer; Andrew S. Lan (CoRR, 2025)