Research Project: Knowledge-based Language Models

ConferenceFabian M. Suchanek, Mehwish Alam, Thomas Bonald, Pierre-Henri Paris, Jules Soria:
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy”,
Conference on Research and Development in Information Retrieval  (SIGIR), 2024
See also: Project Web page
ConferenceChadi Helwe, Pierre-Henri Paris, Tom Calamai, Chloé Clavel, Fabian M. Suchanek:
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification”,
North American Chapter of the Association for Computational Linguistics  (NAACL), 2024
See also: Project Web page
ConferenceZacchary Sadeddine, Juri Opitz, Fabian M. Suchanek:
A Survey of Meaning Representation – From Theory to Practical Utility”,
North American Chapter of the Association for Computational Linguistics  (NAACL), 2024
ConferenceLihu Chen, Gaël Varoquaux, Fabian M. Suchanek:
Learning High-Quality and General-Purpose Phrase Representations”,
European ACL  (EACL), 2024
JournalSimon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek:
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey”,
ACM Computing Surveys  (ACM CSUR), 2023
ArxivAndrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
BLT: Can Large Language Models Handle Basic Legal Text?
arXiv 2023
JournalAndrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
Tax Notes Federal, August 14, 2023
ConferenceAndrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning?
ICAIL 2023
ConferenceLihu Chen, Gaël Varoquaux, Fabian M. Suchanek:
The Locality and Symmetry of Positional Encodings”,
Findings of the Conference on Empirical Methods in Natural Language Processing  (EMNLP Find.), 2023
InvitedFabian M. Suchanek, Anh Tuan Luu:
Knowledge Bases and Language Models: Complementing Forces”,
International Joint Conference on Rules and Reasoning  (RuleML+RR), 2023