- Jordan Koontz, Maite Oronoz, Alicia Pérez:
Ixa-Med at Discharge Me! Retrieval-Assisted Generation for Streamlining Discharge Documentation. BioNLP@ACL 2024: 658-663 - Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth:
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. BioNLP@ACL 2024: 72-84 - Mathieu Lai-king
, Patrick Paroubek:
Pre-training data selection for biomedical domain adaptation using journal impact metrics. BioNLP@ACL 2024: 363-369 - Vojtech Lanz, Pavel Pecina:
Paragraph Retrieval for Enhanced Question Answering in Clinical Documents. BioNLP@ACL 2024: 580-590 - Yuan Liang, Massimo Poesio, Roonak Rezvani:
A Fine-grained citation graph for biomedical academic papers: the finding-citation graph. BioNLP@ACL 2024: 416-426 - Yuxiang Liao, Yuanbang Liang, Yipeng Qin, Hantao Liu, Irena Spasic:
CID at RRG24: Attempting in a Conditionally Initiated Decoding of Radiology Report Generation with Clinical Entities. BioNLP@ACL 2024: 591-596 - Jinghui Liu, Aaron Nicolson, Jason Dowling, Bevan Koopman, Anthony N. Nguyen:
e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models. BioNLP@ACL 2024: 675-684 - Oscar Loch, Pablo Messina, Rafael Elberg, Diego Campanini, Álvaro Soto, René Vidal, Denis Parra:
iHealth-Chile-3&2 at RRG24: Template Based Report Generation. BioNLP@ACL 2024: 614-623 - Daniel Cabrera Lozoya, Jiahe Liu, Simon D'Alfonso, Mike Conway:
Optimizing Multimodal Large Language Models for Detection of Alcohol Advertisements via Adaptive Prompting. BioNLP@ACL 2024: 514-525 - Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu:
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. BioNLP@ACL 2024: 685-695 - Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller:
Evaluating the Robustness of Adverse Drug Event Classification Models using Templates. BioNLP@ACL 2024: 25-38 - Rahmad Mahendra, Damiano Spina, Lawrence Cavedon, Karin Verspoor:
Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts. BioNLP@ACL 2024: 409-415 - Hemang Malik, Gaurav Pradeep, Pratinav Seth:
HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers. BioNLP@ACL 2024: 831-836 - Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler, Gabriel Stanovsky:
K-QA: A Real-World Medical Q&A Benchmark. BioNLP@ACL 2024: 277-294 - Faraz Maschhur, Klaus Netter, Sven Schmeier, Katrin Ostermann, Rimantas Palunis, Tobias Strapatsas, Roland Roller:
Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios. BioNLP@ACL 2024: 559-569 - Satyam Modi, T. Karthikeyan:
Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need. BioNLP@ACL 2024: 826-830 - Marina Munkhoeva, Dmitry Umerenkov, Valentin Samokhin:
AIRI at RRG24: LLaVa with specialised encoder and decoder. BioNLP@ACL 2024: 603-607 - Abir Naskar, Jane S. Hocking, Patty Chondros, Douglas Boyle, Mike Conway:
MLBMIKABR at "Discharge Me!": Concept Based Clinical Text Description Generation. BioNLP@ACL 2024: 740-747 - Aaron Nicolson, Jinghui Liu, Jason Dowling, Anthony N. Nguyen, Bevan Koopman:
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation. BioNLP@ACL 2024: 99-104 - Tabea Margareta Grace Pakull, Hendrik Damm, Ahmad Idrissi-Yaghir, Henning Schäfer, Peter A. Horn, Christoph M. Friedrich:
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles. BioNLP@ACL 2024: 769-779 - Himanshu Pandey, Akhil Amod, Shivang Kumar:
Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justification. BioNLP@ACL 2024: 39-49 - Gilchan Park, Vivek Mutalik, Christopher Neely, Carlos Soto, Shinjae Yoo, Paramvir Dehal:
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes. BioNLP@ACL 2024: 370-379 - Yiyuan Pu, Kaitlyn Hair, Daniel Beck, Mike Conway, Malcolm MacLeod, Karin Verspoor:
Intervention extraction in preclinical animal studies of Alzheimer's Disease: Enhancing regex performance with language model-based filtering. BioNLP@ACL 2024: 486-492 - Ajay Madhavan Ravichandran, Julianna Grune, Nils Feldhus, Aljoscha Burchardt, Roland Roller, Sebastian Möller:
XAI for Better Exploitation of Text in Medical Decision Support. BioNLP@ACL 2024: 506-513 - Maxim Rubchinsky, Ella Rabinovich, Adi Shribman, Netanel Golan, Tali Sahar, Dorit Shweiki:
Automatic Extraction of Disease Risk Factors from Medical Publications. BioNLP@ACL 2024: 474-485 - Adrian Gonzalez Sanchez, Paloma Martínez:
HULAT-UC3M at BiolaySumm: Adaptation of BioBART and Longformer models to summarizing biomedical documents. BioNLP@ACL 2024: 780-785 - Seiji Shimizu, Shuntaro Yada, Lisa Raithel, Eiji Aramaki:
Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text. BioNLP@ACL 2024: 1-13 - Darya Shlyk, Tudor Groza, Marco Mesiti, Stefano Montanelli, Emanuele Cavalleri:
REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition. BioNLP@ACL 2024: 380-389 - Sanjeet Singh, Shreya Gupta, Niralee Gupta, Naimish Sharma, Lokesh Srivastava, Vibhu Agarwal, Ashutosh Modi:
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs. BioNLP@ACL 2024: 342-362 - Aman Sinha, Timothee Mickus, Marianne Clausel, Mathieu Constant, Xavier Coubez:
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification? BioNLP@ACL 2024: 202-211
