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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.

2 papers in our library · 2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 78 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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