---
title: "Knowledge Graphs and Large Language Models Workshop"
description: "Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 2026 — accepted papers: 8 papers in the Elamur…"
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# Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 2026 — accepted papers

Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 2026 is the 2026 edition of the Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26, held in Palma, Mallorca (Spain), May 2026 (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 21 papers of it; our library holds 8 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Palma, Mallorca (Spain) · 🗓 May 2026

[**21** papers in the proceedings](#all) · [**8** works in our library](https://md.research.elamur.ai/free/en/venues/kallm/2026/#works) · [**0** citations of these works](https://md.research.elamur.ai/free/en/venues/kallm/2026/#works)

## All accepted papers (21)

The most cited first; 8 with our summary link to their page here, the others to the original.

1. **[A Clinical SKOS Ontology and Evaluation Benchmark for LLM Query Generation over ICU Knowledge Graphs ↗](https://aclanthology.org/2026.kallm-1.9/)**Khurrum Ali
2. **[A Wikidata-Based Framework to Measure Cross-Lingual Bias in Multilingual Large Language Models ↗](https://aclanthology.org/2026.kallm-1.19/)**Mouloud Iferroudjene, Lisa Poggel, Andrea Schimmenti et al.
3. **[Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation ↗](https://aclanthology.org/2026.kallm-1.3/)**Barbara Gendron, Gael Guibon, Mathieu d'Aquin
4. **[Efficient KG-Augmented RAG with Reusable Graph Community Summaries ↗](https://aclanthology.org/2026.kallm-1.12/)**Maha Karkout, Maria Andreevna Khodorchenko, Nikolay Alekseevich Butakov et al.
5. **[End-to-End Graph Retrieval Pipeline for Specialized Domains ↗](https://aclanthology.org/2026.kallm-1.16/)**Haraldur Davidsson, Hazar Harmouch
6. **[Evaluating Large Language Models for Strategic Knowledge Extraction in Capability-Based Planning ↗](https://aclanthology.org/2026.kallm-1.20/)**Hein C. Kolk, Julia García-Fernández, Julia Bronkhorst et al.
7. **[GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering ↗](https://aclanthology.org/2026.kallm-1.7/)**Tianyi Zhang, Andreas Marfurt
8. **[Graph Fusion across Languages Using Large Language Models ↗](https://aclanthology.org/2026.kallm-1.11/)**Kaung Myat Kyaw, Khush Agarwal, Jonathan Chan
9. **[Improving Text2Cypher with Confidence-Based Test-Time Strategies ↗](https://aclanthology.org/2026.kallm-1.5/)**Rima Dessi, Makbule Gulcin Ozsoy
10. **[Integrating Knowledge Graph and Large Language Models for Defining Business Strategies ↗](https://aclanthology.org/2026.kallm-1.6/)**Eleonora Ghizzota, Alex Jordan, Alessandro Petruzzelli et al.
11. **[Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA ↗](https://aclanthology.org/2026.kallm-1.4/)**Ankit Grover, Lodovico Giaretta, Remi Bourgerie et al.
12. **[LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction](https://md.research.elamur.ai/free/en/papers/pommeret-2026-llm-based-atomic-propositions-help/)**Luc Pommeret, Thomas Gerald, Christophe Servan et al.*our summary*
13. **[Large Language Models for Knowledge Graph Extraction: A Schema-Constrained Evaluation Framework ↗](https://aclanthology.org/2026.kallm-1.21/)**Markus Ilves, Eduard Barbu, Jaan Übi
14. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/)**Daniele Pasquini, Danilo Croce, Roberto Basili*our summary*
15. **[OntoBook: Ontology-Grounded Synthetic Textbooks for Medical Encoder Pretraining](https://md.research.elamur.ai/free/en/papers/touchent-2026-ontobook-ontology-grounded-synthetic-textbooks/)**Rian Touchent, Éric de la Clergerie*our summary*
16. **[Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain](https://md.research.elamur.ai/free/en/papers/vuth-2026-ontology-guided-synthetic-data-generation/)**Nakanyseth Vuth, Emrick Poncet, Gilles Sérasset et al.*our summary*
17. **[Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic Approach](https://md.research.elamur.ai/free/en/papers/vanmechelen-2026-quantifying-retrieval-quality-graphrag-schema/)**Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi et al.*our summary*
18. **[ReX-GG: A LLM Ensemble Pipeline for Relation-extraction and Graph Generation](https://md.research.elamur.ai/free/en/papers/magnifico-2026-rex-gg-llm-ensemble-pipeline/)**Giacomo Magnifico, Eduard Barbu*our summary*
19. **[Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering ↗](https://aclanthology.org/2026.kallm-1.13/)**Lukas Amadeus Kleybolte, Viviana Ventura, Alessandra Zarcone
20. **[The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question Decomposition](https://md.research.elamur.ai/free/en/papers/six-2026-structure-content-trade-off-knowledge/)**Valentin Six, Gaël de Chalendar, Evan Dufraisse*our summary*
21. **[Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag Challenges](https://md.research.elamur.ai/free/en/papers/schlor-2026-knowledge-graph-grounded-evaluation-agentic/)**Daniel Schlör, Marius Bohn, Maximilian Wolf et al.*our summary*

## Papers with our summary in our library (8)

The most cited first (OpenAlex citations plus our library's).

1. **[ReX-GG: A LLM Ensemble Pipeline for Relation-extraction and Graph Generation](https://md.research.elamur.ai/free/en/papers/magnifico-2026-rex-gg-llm-ensemble-pipeline/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Giacomo Magnifico, Eduard Barbu*2026*
2. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniele Pasquini, Danilo Croce, Roberto Basili*2026*
3. **[LLM-based Atomic Propositions Help Weak Extractors: Evaluation of a Propositioner for Triplet Extraction](https://md.research.elamur.ai/free/en/papers/pommeret-2026-llm-based-atomic-propositions-help/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Luc Pommeret, Thomas Gerald, Patrick Paroubek, et al.*2026*
4. **[Towards Knowledge Graph-Grounded Evaluation of Agentic LLMs on Cybersecurity Capture-the-Flag Challenges](https://md.research.elamur.ai/free/en/papers/schlor-2026-knowledge-graph-grounded-evaluation-agentic/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniel Schlör, Marius Bohn, Maximilian Wolf, et al.*2026*
5. **[The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question Decomposition](https://md.research.elamur.ai/free/en/papers/six-2026-structure-content-trade-off-knowledge/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Valentin Six, Gaël de Chalendar, Evan Dufraisse*2026*
6. **[OntoBook: Ontology-Grounded Synthetic Textbooks for Medical Encoder Pretraining](https://md.research.elamur.ai/free/en/papers/touchent-2026-ontobook-ontology-grounded-synthetic-textbooks/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Rian Touchent, Éric de la Clergerie*2026*
7. **[Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic Approach](https://md.research.elamur.ai/free/en/papers/vanmechelen-2026-quantifying-retrieval-quality-graphrag-schema/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi, et al.*2026*
8. **[Ontology-Guided Synthetic Data Generation for Low-Resource Information Extraction: A Case Study in IT Heritage Domain](https://md.research.elamur.ai/free/en/papers/vuth-2026-ontology-guided-synthetic-data-generation/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Nakanyseth Vuth, Emrick Poncet, Gilles Sérasset, et al.*2026*

## Top topics

Topics of its works in our library, with the number of works on each.

[Knowledge graphs & ontologies (5)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information extraction (2)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Information retrieval & search (2)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Computer Science (8)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (7)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology (2)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Andreas Hotho**1 work here](https://md.research.elamur.ai/free/en/authors/andreas-hotho/) · [🧑‍🔬**Benjamin Lecouteux**1 work here](https://md.research.elamur.ai/free/en/authors/benjamin-lecouteux/) · [🧑‍🔬**Danilo Croce**1 work here](https://md.research.elamur.ai/free/en/authors/danilo-croce/) · [🧑‍🔬**Didier Schwab**1 work here](https://md.research.elamur.ai/free/en/authors/didier-schwab/) · [🧑‍🔬**Eduard Barbu**1 work here](https://md.research.elamur.ai/free/en/authors/eduard-barbu/) · [🧑‍🔬**Gaël de Chalendar**1 work here](https://md.research.elamur.ai/free/en/authors/gael-de-chalendar/) · [🧑‍🔬**Gilles Sérasset**1 work here](https://md.research.elamur.ai/free/en/authors/gilles-serasset/) · [🧑‍🔬**Luc Pommeret**1 work here](https://md.research.elamur.ai/free/en/authors/luc-pommeret/) · [🧑‍🔬**Nakanyseth Vuth**1 work here](https://md.research.elamur.ai/free/en/authors/nakanyseth-vuth/) · [🧑‍🔬**Patrick Paroubek**1 work here](https://md.research.elamur.ai/free/en/authors/patrick-paroubek/) · [🧑‍🔬**Rian Touchent**1 work here](https://md.research.elamur.ai/free/en/authors/rian-touchent/) · [🧑‍🔬**Roberto Basili**1 work here](https://md.research.elamur.ai/free/en/authors/roberto-basili/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🔬**Centre National de la Recherche Scientifique** Paris · France 2 works here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**Université Paris-Saclay** Gif-sur-Yvette · France 2 works here](https://md.research.elamur.ai/free/en/universities/universite-paris-saclay/) · [🎓**Institut polytechnique de Grenoble** Grenoble · France 1 work here](https://md.research.elamur.ai/free/en/universities/institut-polytechnique-de-grenoble/) · [🎓**University of Rome Tor Vergata** Rome · Italy 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-rome-tor-vergata/) · [🎓**Georgia Institute of Technology** Atlanta · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 1 work here](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🎓**University of Würzburg** Würzburg · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-wurzburg/) · [🏛️**Commissariat à l'Énergie Atomique et aux Énergies Alternatives** Paris · France 1 work here](https://md.research.elamur.ai/free/en/government/commissariat-a-l-energie-atomique-et-aux-energies-alternatives/) · [🔬**CEA Paris-Saclay - Etablissement de Saclay** Saclay · France 1 work here](https://md.research.elamur.ai/free/en/labs/cea-paris-saclay-etablissement-de-saclay/) · [🎓**Sorbonne Université** Paris · France 1 work here](https://md.research.elamur.ai/free/en/universities/sorbonne-universite/) · [🏛️**Laboratoire d'Intégration des Systèmes et des Technologies** Palaiseau · France 1 work here](https://md.research.elamur.ai/free/en/government/laboratoire-d-integration-des-systemes-et-des-technologies/) · [🔬**Laboratoire d'Informatique de Grenoble** Grenoble · France 1 work here](https://md.research.elamur.ai/free/en/labs/laboratoire-d-informatique-de-grenoble/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [↑ back to Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)