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20232026
most citedDetecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text

9 citations · 11 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

The Roles of English in Evaluating Multilingual Language Models

Wessel Poelman, Miryam de Lhoneux

Multilingual natural language processing is getting increased attention, with numerous models, benchmarks, and methods being released for many languages. English is often used in m…

cs.CL2024

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP

Kushal Tatariya, Artur Kulmizev, Wessel Poelman +6

Wikipedia's perceived high quality and broad language coverage have established it as a fundamental resource in NLP. However, in recent years, such assumptions of high quality have…

cs.CL2024★ 1 cited

A Principled Framework for Evaluating on Typologically Diverse Languages

Esther Ploeger, Wessel Poelman, Andreas Holck Høeg-Petersen +3

Beyond individual languages, multilingual natural language processing (NLP) research increasingly aims to develop models that perform well across languages generally. However, eval…

cs.CL2024★ 1 cited

Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components

Phillip Schneider, Wessel Poelman, Michael Rovatsos +1

Conversational search systems enable information retrieval via natural language interactions, with the goal of maximizing users' information gain over multiple dialogue turns. The…

cs.CL2024

What is "Typological Diversity" in NLP?

Esther Ploeger, Wessel Poelman, Miryam de Lhoneux +1

The NLP research community has devoted increased attention to languages beyond English, resulting in considerable improvements for multilingual NLP. However, these improvements onl…