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Latest publications
Lihu Chen, Alexandre Perez-Lebel, Fabian Suchanek, Gaël Varoquaux. Reconfidencing LLM Uncertainty from the Grouping Loss Perspective.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing
, Nov 2024, Miami, United States.
⟨10.48550/arXiv.2402.04957⟩
.
⟨hal-04750567⟩
Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek. The Factuality of Large Language Models in the Legal Domain.
CIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management
, Oct 2024, Boise Idaho, United States.
⟨hal-04701151⟩
Simon Delarue, Thomas Bonald, Tiphaine Viard. Link Prediction Without Learning.
European Conference on Artificial Intelligence
, Oct 2024, Santiago de compostela, Galicia, Spain.
⟨hal-04643971⟩
Yiwen Peng, Thomas Bonald, Mehwish Alam. Refining Wikidata Taxonomy using Large Language Models.
ACM International Conference on Information and Knowledge Management
, Oct 2024, Boise, Idaho, United States.
⟨10.1145/3627673.3679156⟩
.
⟨hal-04687258⟩
Cyril Chhun, Fabian M. Suchanek, Chloé Clavel. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation.
Transactions of the Association for Computational Linguistics
, 2024, 12, pp.1122-1142.
⟨10.1162/tacl_a_00689⟩
.
⟨hal-04593961v2⟩
Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri. ASML: A Scalable and Efficient AutoML Solution for Data Streams.
AutoML 2024 - International Conference on Automated Machine Learning
, Sep 2024, Paris, France.
⟨hal-04581479v2⟩
Chadi Helwe. Evaluating and Improving the Reasoning Abilities of Language Models. Computer Science [cs]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT021⟩
.
⟨tel-04654171⟩
Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris. Neurosymbolic Methods for Dynamic Knowledge Graphs.
Handbook on Neurosymbolic Artificial Intelligence
, In press.
⟨hal-04792151⟩
Chadi Helwe, Tom Calamai, Pierre-Henri Paris, Fabian M. Suchanek, Chloé Clavel. MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification.
NAACL
, Jun 2024, Mexico City, Mexico.
⟨hal-04629995⟩
Chadi Helwe, Tom Calamai, Pierre-Henri Paris, Chloé Clavel, Fabian M Suchanek. MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification.
NAACL 2024 - North American Chapter of the Association for Computational Linguistics
, Jun 2024, Mexico City, Mexico.
⟨hal-04631163⟩