Papers by Stéphane Clinchant
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation (2024.findings-emnlp)
Copied to clipboard
David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Stéphane Clinchant, Vassilina Nikoulina
| Challenge: | Retrieval-Augmented Generation allows to enhance Large Language Models with external knowledge. |
| Approach: | They propose a library that allows to benchmark and standardize RAG experiments. |
| Outcome: | The proposed library is an end-to-end library for reproducible research standardizing RAG experiments. |
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation (2025.findings-acl)
Copied to clipboard
| Challenge: | Document compression methods suffer from accuracy losses and limited context size. |
| Approach: | They propose a method that achieves a 16x compression rate with minimal accuracy loss . they show that PISCO outperforms existing compression models by 8% in accuracy . |
| Outcome: | The proposed method outperforms existing compression models by 8% in accuracy. |