Peer-reviewed conference proceedings
Xu, Z., Khatri, V., Dai, Y., Liu, X., Li, S., Zhang, X., & Yu, R.
(2026). Enhancing LLM-Based Data Annotation with Error Decomposition.
In Proceedings of LAK '26: 16th International Learning Analytics and
Knowledge Conference (pp. 325–335). Best Paper Nominee.
doi:10.1145/3785022.3785070
Peer-reviewed journal articles
Khatri, V., Sinha, A., & Kumari, R. (2022). A study of the impact
of e-learning on the health of school going adolescents in Bareilly city:
A cross-sectional study. Indian Journal of Forensic and Community
Medicine, 9(3), 112–116.
Sinha, A., Khatri, V., & Nath, B. (2022). Relevance of health
education to e-learning-associated problems among the school-going adolescents
in Bareilly city: An interventional study. Journal of Family Medicine and
Primary Care, 11, 6863–6868.
Under review
Khatri, V., et al. (2026). Multi-Agent Essay Scoring through
Toulmin Debate using Large Language Models. Manuscript under review at the
International Conference on Quantitative Ethnography (ICQE).
In preparation
Large Language Models for Educational Data Annotation at Scale.
Manuscript in preparation for submission to AERA Open.