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shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation., , , and . BioNLP@ACL, page 550-556. Association for Computational Linguistics, (2023)Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge., , , , , , , , , and 1 other author(s). CoRR, (2023)News Article Teaser Tweets and How to Generate Them., , , and . NAACL-HLT (1), page 3967-3977. Association for Computational Linguistics, (2019)RadLing: Towards Efficient Radiology Report Understanding., , , , , and . ACL (industry), page 640-651. Association for Computational Linguistics, (2023)General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Data from Thoracic Radiology Reports., , , , , , and . CoRR, (2023)Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data., , , , and . CoRR, (2021)Generating Multi-Sentence Abstractive Summaries of Interleaved Texts., , , , and . CoRR, (2019)Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization., , , and . ACL (1), page 1542-1553. Association for Computational Linguistics, (2022)Neural architectures for open-type relation argument extraction., , , , and . Nat. Lang. Eng., 25 (2): 219-238 (2019)