activity
20132025
most citedPolisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

197 citations · 409 across the 21 of their papers we have counts for

collaborators

24 papers

cs.CL2025

WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts

Negar Foroutan, Angelika Romanou, Matin Ansaripour +3

Documents are fundamental to preserving and disseminating information, often incorporating complex layouts, tables, and charts that pose significant challenges for automatic docume…

cs.CL2024★ 12 cited

Stance Detection on Social Media with Fine-Tuned Large Language Models

İlker Gül, Rémi Lebret, Karl Aberer

Stance detection, a key task in natural language processing, determines an author's viewpoint based on textual analysis. This study evaluates the evolution of stance detection meth…

cs.CL2023

Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages

Yasmine Karoui, Rémi Lebret, Negar Foroutan +1

Vision-Language Pre-training (VLP) has advanced the performance of many vision-language tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-traini…

cs.CL2023

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov +3

Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks. However, their enormous size often makes them impractical on memory-…

cs.CL2022

An Efficient Active Learning Pipeline for Legal Text Classification

Sepideh Mamooler, Rémi Lebret, Stéphane Massonnet +1

Active Learning (AL) is a powerful tool for learning with less labeled data, in particular, for specialized domains, like legal documents, where unlabeled data is abundant, but the…

cs.CL2022★ 2 cited

Discovering Language-neutral Sub-networks in Multilingual Language Models

Negar Foroutan, Mohammadreza Banaei, Remi Lebret +2

Multilingual pre-trained language models transfer remarkably well on cross-lingual downstream tasks. However, the extent to which they learn language-neutral representations (i.e.,…