---
title: "Dimitris Alikaniotis — author profile and papers in our library"
description: "Dimitris Alikaniotis, New York University Abu Dhabi: 2 papers on Elamur Research (2019–2024), h-index 3 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/dimitris-alikaniotis/"
---
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# Dimitris Alikaniotis

Dimitris Alikaniotis has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/); often with [Vipul Raheja](https://md.research.elamur.ai/free/en/authors/vipul-raheja/).

2 papers in our library · 2019–2024

[OpenAlex](https://openalex.org/A5070555838) · [**h-index 3**](https://openalex.org/authors/A5070555838) · [10 works](https://openalex.org/works?filter=author.id:A5070555838) · [25 citations](https://openalex.org/works?filter=author.id:A5070555838&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dimitris-alikaniotis/#papers) · [🔗 Cited 93 times in our library](https://md.research.elamur.ai/free/en/authors/dimitris-alikaniotis/cited-by/) · [⭐ Paper Stars ranking: #4890](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4890)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Dimitris+Alikaniotis) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dimitris+Alikaniotis) · [dblp](https://dblp.org/search?q=Dimitris+Alikaniotis) · [ACL Anthology](https://aclanthology.org/search/?q=Dimitris+Alikaniotis)

## Affiliations

[🎓**New York University Abu Dhabi** Abu Dhabi · United Arab Emirates 2024 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/new-york-university-abu-dhabi/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/)

## Works by year

### 2020s

[**2024** 1 paper Dimitris Alikaniotis's papers of 2024](https://md.research.elamur.ai/free/en/papers/stureborg-2024-large-language-models-inconsistent-biased/)

### 2010s

[**2019** 1 paper Dimitris Alikaniotis's papers of 2019](https://md.research.elamur.ai/free/en/papers/alikaniotis-2019-unreasonable-effectiveness-transformer-language-models/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large Language Models are Inconsistent and Biased Evaluators](https://md.research.elamur.ai/free/en/papers/stureborg-2024-large-language-models-inconsistent-biased/)** *(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](https://md.research.elamur.ai/free/en/papers/alikaniotis-2019-unreasonable-effectiveness-transformer-language-models/)** *(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.

- [Vipul Raheja](https://md.research.elamur.ai/free/en/authors/vipul-raheja/)

## Venues

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

- [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/): [BEA 2019](https://md.research.elamur.ai/free/en/venues/bea/2019/)

## 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 →](https://md.research.elamur.ai/free/en/authors/dimitris-alikaniotis/cited-by/).

Updated 24 October 2026
