707 citations · 772 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction
Francis Kulumba, Wissam Antoun, Guillaume Vimont +2
Authorship attribution asks whether two pieces of text share a writer, but topical confound makes the task deceptively easy: two authors covering the same topic may look more alike…
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…
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…
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…
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…
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.…
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…
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…