Knowledge Graphs and Large Language Models @ LREC26

Saturday, May 16, 2026

09:00–10:30 Session Oral 1: KG, LLMs and Generation

Chair: Michael Cochez, Ellis Institute Finland & Åbo Akademi, Finland

• 09:00-09:30: Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs Daniele Pasquini, Danilo Croce and Roberto Basili

• 09:30-10:00: OntoBook: Ontology-Grounded Synthetic Textbooks for Medical Encoder Pretraining Rian Touchent and Éric de la Clergerie

• 10:00-10:30: Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation Barbara Gendron, Gael Guibon and Mathieu d’Aquin

10:30–12:00 Session Poster: Poster Session

Chair: Gilles Sérasset, Université Grenoble Alpes, France

• Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA Ankit Grover, Lodovico Giaretta, Remi Bourgerie and Sarunas Girdzijauskas

• Improving Text2Cypher with Confidence-Based Test-Time Strategies Rima Dessi and Makbule Gulcin Ozsoy

• Integrating Knowledge Graph and Large Language Models for Defining Business Strategies Eleonora Ghizzota, Alex Jordan, Alessandro Petruzzelli, Lucia Siciliani, Giuseppe Spillo, Pierpaolo Basile, Davide Sola, Giovanni Scarso Borioli and Giovanni Semeraro

• GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering Tianyi Zhang and Andreas Marfurt

• Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain Nakanyseth Vuth, Emrick Poncet, Gilles Sérasset, Didier Schwab, Caroline Djambian Djambian and Benjamin Lecouteux

• A Clinical SKOS Ontology and Evaluation Benchmark for LLM Query Generation over ICU Knowledge Graphs Khurrum Ali

• ReX-GG: A LLM Ensemble Pipeline for Relation-extraction and Graph Generation Giacomo Magnifico and Eduard Barbu

• Graph Fusion across Languages Using Large Language Models Kaung Myat Kyaw, Khush Agarwal and Jonathan Chan

• Efficient KG-Augmented RAG with Reusable Graph Community Summaries Maha Karkout, Maria Andreevna Khodorchenko, Nikolay Alekseevich Butakov and Denis Nasonov

• Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering Lukas Amadeus Kleybolte, Viviana Ventura and Alessandra Zarcone

• LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction Luc Pommeret, Thomas Gerald, Christophe Servan, Sahar Ghannay, Patrick Paroubek and Sophie Rosset

• Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag Challenges Daniel Schlör, Marius Bohn, Maximilian Wolf, Kevin Bergner, Christian Goldschmied and Andreas Hotho

12:00–13:00 KG, LLMs and Retrieval

Chair: Jan-Christoph Kalo, University of Amsterdam, Netherlands

• 12:00-12:30: End-to-End Graph Retrieval Pipeline for Specialized Domains Haraldur Davidsson and Hazar Harmouch

• 12:30-13:00: The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question Decomposition Valentin Six, Gaël de Chalendar and Evan Dufraisse

14:00–16:00 KG, LLMs and Evaluation

Chair: Katerina Gkirtzou, Athena Research Center, Greece

• 14:00-14:30: Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic Approach Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi and Sabri Skhiri

• 14:30-15:00: A Wikidata-Based Framework to Measure Cross-Lingual Bias in Multilingual Large Language Models Mouloud Iferroudjene, Lisa Poggel, Andrea Schimmenti, Duo Yang, Kanchan Shivashankar, Jan-Christoph Kalo and Marta Boscariol

• 15:00-15:30: Evaluating Large Language Models for Strategic Knowledge Extraction in Capability-Based Planning Hein C. Kolk, Julia García-Fernández, Julia Bronkhorst and Roos M. Bakker

• 15:30-16:00: Large Language Models for Knowledge Graph Extraction: A Schema-Constrained Evaluation Framework Markus Ilves, Eduard Barbu and Jaan Übi

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