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Pierre ERBACHER
Pierre ERBACHER
PhD student at Sorbonne University in the team Machine Learning and Information Access (MLIA)
isir.upmc.fr의 이메일 확인됨
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Interactive Query Clarification and Refinement via User Simulation
P Erbacher, L Denoyer, L Soulier
arXiv preprint arXiv:2205.15918, 2022
102022
State of the Art of User Simulation approaches for conversational information retrieval
P Erbacher, L Soulier, L Denoyer
arXiv preprint arXiv:2201.03435, 2022
102022
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography priority u-Net for detection of pwml in preterm 3d Cranial …
P Erbacher, C Lartizien, M Martin, PF Pimenta, P Quetin, P Delachartre
Medical Imaging with Deep Learning (MIDL), 1-12, 2020
52020
État de l'art des approches de modélisation et de simulation utilisateur pour la recherche d'information conversationnelle
P Erbacher, L Soulier
CORIA 2021, 2021
12021
Navigating Uncertainty: Optimizing API dependency for Hallucination Reduction in Closed-Book QA
P Erbacher, L Falissard, V Guigue, L Soulier
ECIR 2024, 2024
2024
PAQA: Toward ProActive Open-Retrieval Question Answering
P Erbacher, JY Nie, P Preux, L Soulier
arXiv preprint arXiv:2402.16608, 2024
2024
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search
P Erbacher, JY Nie, P Preux, L Soulier
https://arxiv.org/abs/2311.06119, 2023
2023
CIRCLE: Multi-Turn Query Clarifications with Reinforcement Learning
P Erbacher, L Soulier
https://arxiv.org/abs/2311.02737, 2023
2023
Recherche d'information conversationnelle
L Soulier, P Erbacher, T Gerald, H Djeddal, JY Nie, P Preux
18e Conférence en Recherche d'Information et Applications, 16e Rencontres …, 2023
2023
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
P Erbacher, C Lartizien, M Martin, P Foletto-Pimenta, P Quetin, ...
Medical Imaging with Deep Learning, 205-216, 2020
2020
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