| Conference | Fabian 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
|
| Conference | Chadi 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
|
| Conference | Zacchary 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
|
| Conference | Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek:
“Learning High-Quality and General-Purpose Phrase Representations”,
European ACL
(EACL), 2024
|
| Journal | Simon 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
|
| Arxiv | Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
“BLT: Can Large Language Models Handle Basic Legal Text?”
arXiv 2023
|
| Journal | Andrew 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
|
| Conference | Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
“Can GPT-3 Perform Statutory Reasoning?”
ICAIL 2023
|
| Conference | Lihu 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
|
| Invited | Fabian M. Suchanek, Anh Tuan Luu:
“Knowledge Bases and Language Models: Complementing Forces”,
International Joint Conference on Rules and Reasoning
(RuleML+RR), 2023
|
