Bilel Omrani — accepted AI-conference papers

2025

ColPali: Efficient Document Retrieval with Vision Language Models

Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, CELINE HUDELOT +1

ICLR 2025poster

Documents are visually rich structures that convey information through text, but also figures, page layouts, tables, or even fonts. Since modern retrieval systems mainly rely on the textual information they extract from document pages to index documents -often through lengthy and brittle processes-,…

Cited by 43 Source ↗PDF ↗Scholar ↗

2025

GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering

Sacha Muller, Antonio Loison, Bilel Omrani, Gautier Viaud

COLING 2025main

Retrieval-Augmented Generation (RAG) has emerged as a common paradigm to use Large Language Models (LLMs) alongside private and up-to-date knowledge bases. In this work, we address the challenges of using LLM-as-a-Judge when evaluating grounded answers generated by RAG systems. To assess the calibra…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗