Julien V. Baudru

About

Current position:PhD Student in Engineering Sciences and Technology

Affiliation: FRIA/FNRS - PhD Student at Université Libre de Bruxelles

Location: Brussels, Belgium

Research Focus: Algorithms for ride-sharing and car-pooling in large multimodal road networks.

Lab: IRIDIA/FARI - Université Libre de Bruxelles

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records

We explore the ability of two LLMs -- GPT-4o and Claude Sonnet 3.5 -- to transcribe historical handwritten documents in a tabular format and compare their performance to traditional OCR/HTR systems. Considering the tabular form of the data, two types of experiments are executed: one where the images are split line by line and the other where the entire scan is used as input.

RAG Workshop: Retrieval-Augmented Generation

A workshop organized at HELHa Tournai for computer science students, focusing on Retrieval-Augmented Generation (RAG). This advanced AI technique aims to improve the accuracy and reliability of text generated by Large Language Models (LLMs) by incorporating external knowledge sources.

Institution: Haute École Louvain en Hainaut (HELHa) - Tournai

The Comparative Analysis of Car-Pooling Algorithms for Ride-Sharing Systems

In this paper, we present a comparative analysis of five methods for constructing ride-sharing pools of users, focusing on their efficiency in terms of execution time, the percentage of user requests fulfilled, the distance of the detour made by the driver and the waiting time of the passenger.

Award-Winning Collaboration with Procter & Gamble

IRIDIA and LISA laboratories at ULB received the "Connect + Develop Partner Excellence 2024" award from P&G. Our collaboration focused on implementing Retrieval-Augmented Generation (RAG) systems for the R&D chemical department, optimizing research processes and enhancing knowledge management through advanced AI techniques.

Heuristic Optimal Meeting Point Algorithm for Car-Sharing in Large Multimodal Road Networks

This article introduces a new version of the car-pooling problem (CPP). This involves defining rendezvous or meeting point in such a way that the travel times of the users are fair, this problem shares similarities with the problem of finding the optimal meeting point (OMP) in a graph.

From Theory to Application: Using LLM, RAG, and Embeddings for Real-world Use Cases

Join us at the FARI Test and Experience Center in Brussels for an AI Happy Hour event on Monday, May 27, 2024 at 17:30. Julien Baudru and Lluc Bono from IRIDIA, ULB will explore the practical implementation of Large Language Models (LLMs), RAG systems, and embeddings in real-world scenarios. The presentation will demonstrate how to provide the right context to these models for accurate information delivery, outline integration steps, and discuss ways to reduce errors while improving search capabilities through advanced AI techniques.

Lyric Networks Unveiled: A Novel Approach to Analyzing The Beatles' Songs Using Text Embeddings and Network Analysis

A research project combining natural language processing and network analysis to explore patterns and relationships in The Beatles' song lyrics. Using text embeddings and graph theory, we uncover thematic connections and linguistic patterns across their discography.

AI Detection of Illegal Animal Trade Online

A collaborative project between VUB and ULB researchers through the FARI Institute to detect illegal animal trade online using artificial intelligence. The system analyzes photos and text from online advertisements to identify illegal practices and has processed over 33,500 ads since January 2022.