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Dimitris Alikaniotis

Dimitris Alikaniotis has 2 papers in our library, in 2019–2024, most of them on Language models & pretraining, Grammatical error correction & learner language; often with Vipul Raheja.

2 papers in our library · 2019–2024

OpenAlex · h-index 3 · 10 works · 25 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 93 times in our library · ⭐ Paper Stars ranking: #4890

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

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2024 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksGrammatical error correction & learner language · 1 work

 Works by year

2020s

20241 paperDimitris Alikaniotis's papers of 2024

2010s

20191 paperDimitris Alikaniotis's papers of 2019

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models are Inconsistent and Biased Evaluators (2024 · 91 citations)
    LLM-based judges such as GPT-4 are now widely used to score generated text without references. However, earlier work mostly tuned them to match human ratings and paid little attention to how reliable they are. The authors examine two properties of these judges, bias and consistency, in summary evaluation. They use…
  2. The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction (2019 · 52 citations)
    The paper tests how well large pre-trained Transformer models correct grammatical errors (GEC) when they are used only as language models, without any training on annotated data.

 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 93 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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