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20152026
most citedLanguage Modelling with Pixels

17 citations · 47 across the 22 of their papers we have counts for

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32 papers · 1 filter

cs.CL2026

Form and Meaning in Intrinsic Multilingual Evaluations

Wessel Poelman, Miryam de Lhoneux

Intrinsic evaluation metrics for conditional language models, such as perplexity or bits-per-character, are widely used in both mono- and multilingual settings. These metrics are r…

cs.CL2025

On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility

Kushal Tatariya, Wessel Poelman, Miryam de Lhoneux

Language model architectures are predominantly first created for English and subsequently applied to other languages. It is an open question whether this architectural bias leads t…

cs.CL2025

Confounding Factors in Relating Model Performance to Morphology

Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux

The extent to which individual language characteristics influence tokenization and language modeling is an open question. Differences in morphological systems have been suggested a…

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

Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models

Kushal Tatariya, Vladimir Araujo, Thomas Bauwens +1

Pixel-based language models have emerged as a compelling alternative to subword-based language modelling, particularly because they can represent virtually any script. PIXEL, a can…