Pierre Erbacher
Orcid: 0009-0004-1328-4126
According to our database1,
Pierre Erbacher
authored at least 18 papers
between 2020 and 2024.
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Bibliography
2024
Proactive models for open-domain conversational search. (Modèles proactifs pour la recherche d'informations conversationnelles).
PhD thesis, 2024
Trans. Mach. Learn. Res., 2024
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training.
CoRR, 2024
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering.
CoRR, 2024
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA.
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the COnférence en Recherche d'Informations et Applications, 2024
Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2024
Proceedings of the COnférence en Recherche d'Informations et Applications, 2024
An Evaluation Framework for Attributed Information Retrieval using Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications, 2023
2022
State of the Art of User Simulation approaches for conversational information retrieval.
CoRR, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022
2021
État de l'art des approches de modélisation et de simulation utilisateur pour la recherche d'information conversationnelle.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2021
2020
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020