Jean-Benoit Delbrouck
According to our database1,
Jean-Benoit Delbrouck
authored at least 29 papers
between 2017 and 2024.
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Bibliography
2024
2023
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
ViLMedic: a framework for research at the intersection of vision and language in medical AI.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
2020
CoRR, 2020
CoRR, 2020
2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
2018
CoRR, 2018
2017
Modulating and attending the source image during encoding improves Multimodal Translation.
CoRR, 2017
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation.
CoRR, 2017
CoRR, 2017
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017