Kv Aditya Srivatsa
Kv Aditya Srivatsa has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova.
OpenAlex · ORCID · h-index 6 · 18 works · 83 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 162 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8060
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workMathematics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors (2025 · 53 citations)
Evaluations of LLM-based tutors have so far used inconsistent, often subjective criteria. Definitions differ across studies, which makes systems hard to compare and progress hard to track. Standard NLG metrics are also a poor fit: they ignore pedagogy and usually need reference answers. The authors address this for… - Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors (2025 · 36 citations)
The BEA 2025 shared task asks whether LLM-based tutors respond to students in pedagogically sound ways. Earlier work used inconsistent criteria, so the organizers built a common benchmark from math tutoring dialogues drawn from MathDial and Bridge. Each dialogue ends with a student error. It is paired with candidate… - What Makes Math Word Problems Challenging for LLMs? (2024 · 26 citations)
The paper asks why some English math word problems (MWPs) defeat large language models while others are solved easily.
All works
- Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
- Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered TutorsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2025 · 36 citations
- What Makes Math Word Problems Challenging for LLMs?Findings of the Association for Computational LinguisticsKv Aditya Srivatsa, Ekaterina Kochmar2024 · 26 citations
- SimpleNER Sentence Simplification System for GEM 2021 ↗Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) · no summary yetK V Aditya Srivatsa, Monil Gokani, Manish Shrivastava2021
Co-authors here
Venues
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA): BEA 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
- Northern European Journal of Language Technology
- Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
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