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Publication search results
found 80 matches
- 2024
- Akshit Achara, Sanand Sasidharan, Gagan N:
Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques. BioNLP@ACL 2024: 493-505 - Vicent Ahuir, Diego Torres, Encarna Segarra, Lluís-F. Hurtado:
ELiRF-VRAIN at BioLaySumm: Boosting Lay Summarization Systems Performance with Ranking Models. BioNLP@ACL 2024: 755-761 - Vahan Arsenyan, Spartak Bughdaryan, Fadi Shaya, Kent Wilson Small, Davit Shahnazaryan:
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes. BioNLP@ACL 2024: 295-317 - Siyu Bao, Ruijing Zhao, Siqin Zhang, Jinghui Zhang, Weiyin Wang, Yunian Ru:
Ctyun AI at BioLaySumm: Enhancing Lay Summaries of Biomedical Articles Through Large Language Models and Data Augmentation. BioNLP@ACL 2024: 837-844 - Bojana Basaragin, Adela Ljajic, Darija Medvecki, Lorenzo Cassano, Milos Kosprdic, Nikola Milosevic:
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions. BioNLP@ACL 2024: 536-547 - Kriti Bhattarai, Inez Y. Oh, Zachary B. Abrams, Albert M. Lai:
Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation. BioNLP@ACL 2024: 318-327 - Diego Campanini, Oscar Loch, Pablo Messina, Rafael Elberg, Denis Parra:
iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation. BioNLP@ACL 2024: 608-613 - Mireia Hernandez Caralt, Clarence Boon Liang Ng, Marek Rei:
Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records. BioNLP@ACL 2024: 243-255 - Vicente Iván Sánchez Carmona, Shanshan Jiang, Takeshi Suzuki, Bin Dong:
Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study. BioNLP@ACL 2024: 449-456 - Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir:
Open (Clinical) LLMs are Sensitive to Instruction Phrasings. BioNLP@ACL 2024: 50-71 - Mariia Chizhikova, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
SINAI at BioLaySumm: Self-Play Fine-Tuning of Large Language Models for Biomedical Lay Summarisation. BioNLP@ACL 2024: 804-809 - Hendrik Damm
, Tabea Margareta Grace Pakull, Bahadir Eryilmaz, Helmut Becker, Ahmad Idrissi-Yaghir, Henning Schäfer, Sergej Schultenkämper, Christoph M. Friedrich:
WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. BioNLP@ACL 2024: 105-121 - Ryan Engel, Gilchan Park:
Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions. BioNLP@ACL 2024: 427-439 - Saeed Farzi, Soumitra Ghosh, Alberto Lavelli, Bernardo Magnini:
Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents. BioNLP@ACL 2024: 266-276 - Erlend Frayling, Jake Lever, Graham McDonald:
UoG Siephers at "Discharge Me!": Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records. BioNLP@ACL 2024: 712-718 - Johann Frei, Frank Kramer:
Creating Ontology-annotated Corpora from Wikipedia for Medical Named-entity Recognition. BioNLP@ACL 2024: 570-579 - Panagiotis Fytas, Anna Breger, Ian Selby, Simon Baker, Shahab Shahipasand, Anna Korhonen:
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology. BioNLP@ACL 2024: 212-235 - Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. BioNLP@ACL 2024: 122-131 - Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux:
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. BioNLP@ACL 2024: 664-674 - Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira:
Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. BioNLP@ACL 2024: 645-657 - Ferran Gonzalez Hernandez, Victoria Smith, Quang Nguyen, Palang Chotsiri, Thanaporn Wattanakul, José Antonio Cordero, Maria Rosa Ballester, Albert Sole, Gill Mundin, Watjana Lilaonitkul, Joseph F. Standing, Frank Kloprogge:
End-to-End Relation Extraction of Pharmacokinetic Estimates from the Scientific Literature. BioNLP@ACL 2024: 144-154 - Hashem Hijazi, Diego Mollá, Vincent Nguyen, Sarvnaz Karimi:
Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation. BioNLP@ACL 2024: 236-242 - William P. Hogan, Andrew Bartko, Jingbo Shang, Chun-Nan Hsu:
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction. BioNLP@ACL 2024: 398-408 - Ben Holgate, Shichao Fang, Anthony Shek, Matthew McWilliam, Pedro F. Viana, Joel S. Winston, James T. Teo, Mark P. Richardson:
Extracting Epilepsy Patient Data with Llama 2. BioNLP@ACL 2024: 526-535 - Brian Hur, Lucy Lu Wang, Laura Hardefeldt, Meliha Yetisgen:
Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis. BioNLP@ACL 2024: 390-397 - Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang, Zeshui Yu, Hui Ji, Yushui Han, Hanyu Zeng, Daqing He:
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. BioNLP@ACL 2024: 810-817 - Akanksha Karotia, Seba Susan:
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation. BioNLP@ACL 2024: 762-768 - Oumaima El Khettari, Noriki Nishida, Shanshan Liu, Rumana Ferdous Munne, Yuki Yamagata, Solen Quiniou, Samuel Chaffron, Yuji Matsumoto:
Mention-Agnostic Information Extraction for Ontological Annotation of Biomedical Articles. BioNLP@ACL 2024: 457-473 - Hwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu:
Saama Technologies at BioLaySumm: Abstract based fine-tuned models with LoRA. BioNLP@ACL 2024: 786-792 - Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu:
MedExQA: Medical Question Answering Benchmark with Multiple Explanations. BioNLP@ACL 2024: 167-181
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