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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.

3 papers in our library · 2024–2025

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

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.

 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. 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…
  2. 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…
  3. 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

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. 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

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 162 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

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