Accepted Papers

Challenge Papers:

• Hamed Babaei Giglou, Jennifer D'Souza, and Sören Auer, LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge

• Hamed Babaei Giglou, Jennifer D'Souza, Sameer Sadruddin, and Sören Auer, LLMs4OL 2024 Datasets: Toward Ontology Learning with Large Language Models

Participants Papers:

• Yixin Peng, Yongli Mou, Bozhen Zhu, Sulayman Sowe, and Stefan Decker. RWTH-DBIS at LLMs4OL 2024 Tasks A and B Knowledge-enhanced Domain-Specific Continual Learning and Prompt-Tuning of Large Language Models for Ontology Learning.

• Sumit Singh, Pankaj Goyal, and Uma Tiwari. silp_nlp at LLMs4OL 2024 Tasks A, B, and C: Ontology Learning through Prompts with LLMs.

• Hanna Abi Akl. DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification.

• Adrita Barua, Sanaz Saki Norouzi, and Pascal Hitzler. DaSeLab at LLMs4OL 2024 Task A: Towards term typing in ontology learning.

• Thiti Phuttaamart, Natthawut Kertkeidkachorn, and Areerat Trongratsameethong. The Ghost at LLMs4OL 2024 Task A: Prompt-Tuning-Based Large Language Models for Term Typing.

• Seyed Mohammad Hossein Hashemi, Mostafa Karimi Manesh, and Mehrnoush Shamsfard. SKH-NLP at LLMs4OL 2024 Task B: Taxonomy Discovery in Ontologies Using BERT and LLaMA 3.

• Carick Appolinaire Atezong Ymele and Azanzi Jiomekong. Combining rules to Large Language Model for Ontology learning.

• Mahsa Sanaei,  Fatemeh Azizi, and Hamed Babaei Giglou. Phoenixes at LLMs4OL 2024 Tasks A, B, and C: Retrieval Augmented Generation for Ontology Learning.