activity
20202026
most citedAraBERT: Transformer-based Model for Arabic Language Understanding

707 citations · 772 across the 14 of their papers we have counts for

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13 papers · 1 filter

cs.CL2026

Language-Switching Triggers Take a Latent Detour Through Language Models

Francis Kulumba, Wissam Antoun, Théo Lasnier +2

Backdoor attacks on language models pose a growing security concern, yet the internal mechanisms by which a trigger sequence hijacks model computations remain poorly understood. We…

cs.CL2026

Language Triggers Hijack Language Circuits: A Mechanistic Analysis of Backdoor Behaviors in Large Language Models

Théo Lasnier, Wissam Antoun, Francis Kulumba +2

Backdoor attacks pose significant security risks for Large Language Models (LLMs), yet the internal mechanisms by which triggers operate remain poorly understood. We present the fi…

cs.CL2025

Gaperon: A Peppered English-French Generative Language Model Suite

Nathan Godey, Wissam Antoun, Rian Touchent +4

We release Gaperon, a fully open suite of French-English-coding language models designed to advance transparency and reproducibility in large-scale model training. The Gaperon fami…

cs.CL2025

ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance

Wissam Antoun, Benoît Sagot, Djamé Seddah

Pretrained transformer-encoder models like DeBERTaV3 and ModernBERT introduce architectural advancements aimed at improving efficiency and performance. Although the authors of Mode…

cs.CL2024

Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection

Arij Riabi, Virginie Mouilleron, Menel Mahamdi +2

The proliferation of radical content on online platforms poses significant risks, including inciting violence and spreading extremist ideologies. Despite ongoing research, existing…

cs.CL2024

CamemBERT 2.0: A Smarter French Language Model Aged to Perfection

Wissam Antoun, Francis Kulumba, Rian Touchent +3

French language models, such as CamemBERT, have been widely adopted across industries for natural language processing (NLP) tasks, with models like CamemBERT seeing over 4 million…

cs.CL2023★ 1 cited

From Text to Source: Results in Detecting Large Language Model-Generated Content

Wissam Antoun, Benoît Sagot, Djamé Seddah

The widespread use of Large Language Models (LLMs), celebrated for their ability to generate human-like text, has raised concerns about misinformation and ethical implications. Add…

cs.CL2023★ 9 cited

Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect?

Wissam Antoun, Virginie Mouilleron, Benoît Sagot +1

Recent advances in natural language processing (NLP) have led to the development of large language models (LLMs) such as ChatGPT. This paper proposes a methodology for developing a…

cs.CL2023

Data-Efficient French Language Modeling with CamemBERTa

Wissam Antoun, Benoît Sagot, Djamé Seddah

Recent advances in NLP have significantly improved the performance of language models on a variety of tasks. While these advances are largely driven by the availability of large am…

cs.CL2021★ 13 cited

Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data

Tarek Naous, Wissam Antoun, Reem A. Mahmoud +1

Enabling empathetic behavior in Arabic dialogue agents is an important aspect of building human-like conversational models. While Arabic Natural Language Processing has seen signif…

cs.CL2020★ 15 cited

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Wissam Antoun, Fady Baly, Hazem Hajj

Recently, pre-trained transformer-based architectures have proven to be very efficient at language modeling and understanding, given that they are trained on a large enough corpus.…

cs.CL2020★ 27 cited

AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding

Wissam Antoun, Fady Baly, Hazem Hajj

Advances in English language representation enabled a more sample-efficient pre-training task by Efficiently Learning an Encoder that Classifies Token Replacements Accurately (ELEC…

cs.CL2020★ 707 cited

AraBERT: Transformer-based Model for Arabic Language Understanding

Wissam Antoun, Fady Baly, Hazem Hajj

The Arabic language is a morphologically rich language with relatively few resources and a less explored syntax compared to English. Given these limitations, Arabic Natural Languag…