5 papers
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Hongyi Liu, Haoyan Yang, Tao Jiang +4
Long-horizon LLM agents generate traces that could become reusable experience, but raw trajectories are noisy, local, and hard to govern. Agent Skills offer a structured artifact f…
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…
QForge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs
Yousouf Taghzouti, Franck Michel, Tao Jiang +2
The SPARQL query language is the standard method to access knowledge graphs (KGs). However, formulating SPARQL queries is a significant challenge for non-expert users, and remains…