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Kailash Patil

Kailash Patil has 2 papers in our library, in 2026; often with Kevin Stowe.

2 papers in our library · 2026

OpenAlex · h-index 7 · 21 works · 396 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 38 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11191

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

🎓Johns Hopkins UniversityBaltimore · United States2010–2015 · 8 papers

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksSafety Research · 1 workSociology and Political Science · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Identifying Bias in Machine-generated Text Detection (2026 · 1 citation)
    Detectors that flag text as machine-generated are increasingly used in schools and content moderation. When they wrongly label human writing as AI-produced, the harm may fall unevenly on vulnerable groups. This paper checks English detectors for that kind of unfairness. The authors merged and cleaned three US student…
  2. Spotlights and Blindspots: Evaluating Machine-Generated Text Detection (2026 · 1 citation)
    Detectors of machine-generated text are hard to compare because published systems use different benchmarks, metrics, and evaluation protocols.

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. New Tools for Web-Scale N-grams ↗Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10) · no summary yetDekang Lin et al.2010 · 110 citations
  2. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
  3. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionLanguage Resources and Evaluation Conference (LREC)Kevin Stowe, Kailash Patil2026 · 1 citation
  4. Unsupervised Acquisition of Lexical Knowledge From N-grams: Final Report of the 2009 JHU CLSP Workshop ↗no summary yetDekang Lin et al.2010 · 1 citation

 Co-authors here

1 co-author 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 38 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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