Kaushal Kumar Maurya
Kaushal Kumar Maurya has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Ekaterina Kochmar, Bashar Alhafni, Numaan Naeem.
OpenAlex · ORCID · Wikidata · h-index 7 · 48 works · 148 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 78 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11193
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksComputer Science Applications · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- AITutor-EvalKit: Exploring the Capabilities of AI Tutors (2026 · 2 citations)
AITutor-EvalKit is an open-source toolkit for judging the pedagogical quality of LLM-based tutors. Educators currently struggle to trust these systems, partly because no tool assesses tutor responses on the fly. The toolkit targets Student Mistake Remediation in middle-school math dialogues. It scores a tutor's reply… - Opportunities and Challenges of LLMs in Education: An NLP Perspective (2026)
This position-and-survey paper looks at how large language models are changing educational NLP. Earlier overviews were mostly aimed at education-technology readers or covered only narrow areas such as writing assessment. The authors instead write for NLP researchers and tie recent LLM work back to older lines of NLP…
All works
- Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetKaushal Kumar Maurya et al.2025 · 53 citations
- Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors ↗Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025) · no summary yetEkaterina Kochmar et al.2025 · 36 citations
- AITutor-EvalKit: Exploring the Capabilities of AI TutorsConference of the European Chapter of the Association for Computational Linguistics (EACL)Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2026 · 2 citations
- Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
Co-authors here
Venues
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA) ×2: BEA 2026
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
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