4 papers
MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15
Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…
T2S-Metrics: Unified Library for Evaluating SPARQL Queries Generated From Natural Language
Yousouf Taghzouti, Tao Jiang, Camille Juigné +4
The evaluation of Question Answering (QA) systems over Knowledge Graphs has historically suffered from fragmentation, inconsistency, and limited reproducibility. While significant…
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
Martin Legrand, Tao Jiang, Matthieu Feraud +5
Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets…
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
Federica Granese, Benjamin Navet, Serena Villata +1
Topic modeling is a key component in unsupervised learning, employed to identify topics within a corpus of textual data. The rapid growth of social media generates an ever-growing…