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ACL 2024

2,718 papers

BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation

Akanksha Karotia, Seba Susan

ELiRF-VRAIN at BioLaySumm: Boosting Lay Summarization Systems Performance with Ranking Models

Vicent Ahuir, Diego Torres, Encarna Segarra, Lluís-F. Hurtado

DeakinNLP at BioLaySumm: Evaluating Fine-tuning Longformer and GPT-4 Prompting for Biomedical Lay Summarization

Huy Quoc To, Ming Liu, Guangyan Huang

MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation

Abir Naskar, Jane Hocking, Patty Chondros, Douglas Boyle, Mike Conway

IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries

An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh

Yale at “Discharge Me!”: Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information

Vimig Socrates, Thomas Huang, Xuguang Ai, Soraya Fereydooni, Qingyu Chen

Roux-lette at “Discharge Me!”: Reducing EHR Chart Burden with a Simple, Scalable, Clinician-Driven AI Approach

Suzanne Wendelken, Anson Antony, Rajashekar Korutla, Bhanu Pachipala, Dushyant Mahajan

UoG Siephers at “Discharge Me!”: Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records

Erlend Frayling, Jake Lever, Graham McDonald

EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record

Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil

UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models

Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen

e-Health CSIRO at “Discharge Me!” 2024: Generating Discharge Summary Sections with Fine-tuned Language Models

Jinghui Liu, Aaron Nicolson, Jason Dowling, Bevan Koopman, Anthony Nguyen

QUB-Cirdan at “Discharge Me!”: Zero shot discharge letter generation by open-source LLM

Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux

Ixa-Med at Discharge Me! Retrieval-Assisted Generation for Streamlining Discharge Documentation

Jordan C. Koontz, Maite Oronoz, Alicia Pérez

Shimo Lab at “Discharge Me!”: Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections

Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira

SICAR at RRG2024: GPU Poor’s Guide to Radiology Report Generation

Kiartnarin Udomlapsakul, Parinthapat Pengpun, Tossaporn Saengja, Kanyakorn Veerakanjana, Krittamate Tiankanon

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S.L. Ho

iHealth-Chile-3&2 at RRG24: Template Based Report Generation

Oscar Loch, Pablo Messina, Rafael Elberg, Diego Campanini, Alvaro Soto

iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation

Diego Campanini, Oscar Loch, Pablo Messina, Rafael Elberg, Denis Parra

AIRI at RRG24: LLaVa with specialised encoder and decoder

Marina Munkhoeva, Dmitry Umerenkov, Valentin Samokhin

MAIRA at RRG24: A specialised large multimodal model for radiology report generation

Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García, Kenza Bouzid, Shruthi Bannur

CID at RRG24: Attempting in a Conditionally Initiated Decoding of Radiology Report Generation with Clinical Entities

Yuxiang Liao, Yuanbang Liang, Yipeng Qin, Hantao Liu, Irena Spasic

Paragraph Retrieval for Enhanced Question Answering in Clinical Documents

Vojtech Lanz, Pavel Pecina

Creating Ontology-annotated Corpora from Wikipedia for Medical Named-entity Recognition

Johann Frei, Frank Kramer

Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios

Faraz Maschhur, Klaus Netter, Sven Schmeier, Katrin Ostermann, Rimantas Palunis

Low Resource ICD Coding of Hospital Discharge Summaries

Ashton Williamson, David de Hilster, Amnon Meyers, Nina Hubig, Amy Apon

How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions

Bojana Bašaragin, Adela Ljajić, Darija Medvecki, Lorenzo Cassano, Miloš Košprdić

Extracting Epilepsy Patient Data with Llama 2

Ben Holgate, Shichao Fang, Anthony Shek, Matthew McWilliam, Pedro Viana

Optimizing Multimodal Large Language Models for Detection of Alcohol Advertisements via Adaptive Prompting

Daniel Cabrera Lozoya, Jiahe Liu, Simon D’Alfonso, Mike Conway

XAI for Better Exploitation of Text in Medical Decision Support

Ajay Madhavan Ravichandran, Julianna Grune, Nils Feldhus, Aljoscha Burchardt, Roland Roller

Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques

Akshit Achara, Sanand Sasidharan, Gagan N

Intervention extraction in preclinical animal studies of Alzheimer’s Disease: Enhancing regex performance with language model-based filtering

Yiyuan Pu, Kaitlyn Hair, Daniel Beck, Mike Conway, Malcolm MacLeod

Automatic Extraction of Disease Risk Factors from Medical Publications

Maxim Rubchinsky, Ella Rabinovich, Adi Shribman, Netanel Golan, Tali Sahar

Mention-Agnostic Information Extraction for Ontological Annotation of Biomedical Articles

Oumaima El Khettari, Noriki Nishida, Shanshan Liu, Rumana Ferdous Munne, Yuki Yamagata

Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study

Vicente Ivan Sanchez Carmona, Shanshan Jiang, Takeshi Suzuki, Bin Dong

XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models

Omkar Chakradhar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer

Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions

Ryan Engel, Gilchan Park

A Fine-grained citation graph for biomedical academic papers: the finding-citation graph

Yuan Liang, Massimo Poesio, Roonak Rezvani

Do Numbers Matter? Types and Prevalence of Numbers in Clinical Texts

Rahmad Mahendra, Damiano Spina, Lawrence Cavedon, Karin Verspoor

MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction

William Hogan, Andrew Bartko, Jingbo Shang, Chun-nan Hsu

Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis

Brian Hur, Lucy Lu Wang, Laura Hardefeldt, Meliha Yetisgen

REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition

Darya Shlyk, Tudor Groza, Marco Mesiti, Stefano Montanelli, Emanuele Cavalleri

Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes

Gilchan Park, Vivek Mutalik, Christopher Neely, Carlos Soto, Shinjae Yoo

Pre-training data selection for biomedical domain adaptation using journal impact metrics

Mathieu Lai-king, Patrick Paroubek

Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs

Sanjeet Singh, Shreya Gupta, Niralee Gupta, Naimish Sharma, Lokesh Srivastava

BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation

Tianyi Wu, Jingqing Zhang, Wenjia Bai, Kai Sun

Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation

Kriti Bhattarai, Inez Y. Oh, Zachary B. Abrams, Albert M. Lai

Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes

Vahan Arsenyan, Spartak Bughdaryan, Fadi Shaya, Kent Wilson Small, Davit Shahnazaryan

K-QA: A Real-World Medical Q&A Benchmark

Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler

Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents

Saeed Farzi, Soumitra Ghosh, Alberto Lavelli, Bernardo Magnini

Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension

Shubham Vatsal, Ayush Singh

Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records

Mireia Hernandez Caralt, Clarence Boon Liang Ng, Marek Rei

Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation

Hashem Hijazi, Diego Molla, Vincent Nguyen, Sarvnaz Karimi

Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.

Panagiotis Fytas, Anna Breger, Ian Selby, Simon Baker, Shahab Shahipasand

Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?

Aman Sinha, Timothee Mickus, Marianne Clausel, Mathieu Constant, Xavier Coubez

Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation

Zonghai Yao, Ahmed Jaafar, Beining Wang, Zhichao Yang, Hong Yu

MedExQA: Medical Question Answering Benchmark with Multiple Explanations

Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Honghan Wu

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke

End-to-End Relation Extraction of Pharmacokinetic Estimates from the Scientific Literature

Ferran Gonzalez Hernandez, Victoria Smith, Quang Nguyen, Palang Chotsiri, Thanaporn Wattanakul

UIUC_BioNLP at BioLaySumm: An Extract-then-Summarize Approach Augmented with Wikipedia Knowledge for Biomedical Lay Summarization

Zhiwen You, Shruthan Radhakrishna, Shufan Ming, Halil Kilicoglu

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles

Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin

WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV

Hendrik Damm, Tabea Margareta Grace Pakull, Bahadır Eryılmaz, Helmut Becker, Ahmad Idrissi-Yaghir

e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation

Aaron Nicolson, Jinghui Liu, Jason Dowling, Anthony Nguyen, Bevan Koopman

Overview of the First Shared Task on Clinical Text Generation: RRG24 and “Discharge Me!”

Justin Xu, Zhihong Chen, Andrew Johnston, Louis Blankemeier, Maya Varma

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency

Vasiliki Kougia, Anastasiia Sedova, Andreas Joseph Stephan, Klim Zaporojets, Benjamin Roth

Open (Clinical) LLMs are Sensitive to Instruction Phrasings

Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Zhang, Jered McInerney

Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justification

Himanshu Gautam Pandey, Akhil Amod, Shivang Kumar

Evaluating the Robustness of Adverse Drug Event Classification Models using Templates

Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller

Generation and Evaluation of Synthetic Endoscopy Free-Text Reports with Differential Privacy

Agathe Zecevic, Xinyue Zhang, Sebastian Zeki, Angus Roberts

Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text

Seiji Shimizu, Shuntaro Yada, Lisa Raithel, Eiji Aramaki

XFACT Team0331 at PerspectiveArg2024: Sampling from Bounded Clusters for Diverse Relevant Argument Retrieval

Wan Ju Kang, Jiyoung Han, Jaemin Jung, James Thorne

GESIS-DSM at PerpectiveArg2024: A Matter of Style? Socio-Cultural Differences in Argumentation

Maximilian Maurer, Julia Romberg, Myrthe Reuver, Negash Weldekiros, Gabriella Lapesa

Twente-BMS-NLP at PerspectiveArg 2024: Combining Bi-Encoder and Cross-Encoder for Argument Retrieval

Leixin Zhang, Daniel Braun

Turiya at PerpectiveArg2024: A Multilingual Argument Retriever and Reranker

Sougata Saha, Rohini Srihari

Sövereign at The Perspective Argument Retrieval Shared Task 2024: Using LLMs with Argument Mining

Robert Günzler, Özge Sevgili, Steffen Remus, Chris Biemann, Irina Nikishina

Overview of PerspectiveArg2024 The First Shared Task on Perspective Argument Retrieval

Neele Falk, Andreas Waldis, Iryna Gurevych

Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers

Sougata Saha, Rohini Srihari

Pungene at DialAM-2024: Identification of Propositional and Illocutionary Relations

Sirawut Chaixanien, Eugene Choi, Shaden Shaar, Claire Cardie

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogue Argument Mining

Zihao Zheng, Zhaowei Wang, Qing Zong, Yangqiu Song

KnowComp at DialAM-2024: Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory

Yuetong Wu, Yukai Zhou, Baixuan Xu, Weiqi Wang, Yangqiu Song

DFKI-MLST at DialAM-2024 Shared Task: System Description

Arne Binder, Tatiana Anikina, Leonhard Hennig, Simon Ostermann

Overview of DialAM-2024: Argument Mining in Natural Language Dialogues

Ramon Ruiz-Dolz, John Lawrence, Ella Schad, Chris Reed

MAMKit: A Comprehensive Multimodal Argument Mining Toolkit

Eleonora Mancini, Federico Ruggeri, Stefano Colamonaco, Andrea Zecca, Samuele Marro

Computational Modelling of Undercuts in Real-world Arguments

Yuxiao Ye, Simone Teufel

Multi-Task Learning Improves Performance in Deep Argument Mining Models

Amirhossein Farzam, Shashank Shekhar, Isaac Mehlhaff, Marco Morucci

Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates

Stefano Mezza, Wayne Wobcke, Alan Blair

DeepCT-enhanced Lexical Argument Retrieval

Alexander Bondarenko, Maik Fröbe, Danik Hollatz, Jan Heinrich Merker, Matthias Hagen

Detecting Scientific Fraud Using Argument Mining

Gabriel Freedman, Francesca Toni

ARIES: A General Benchmark for Argument Relation Identification

Debela Gemechu, Ramon Ruiz-Dolz, Chris Reed

mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search

Ahmed Abdou, Tasneem Mahmoud

DRU at WojoodNER 2024: ICL LLM for Arabic NER

Nancy Hamdan, Hadi Hamoud, Chadi Abou Chakra, Osama Rakan Al Mraikhat, Doha Albared

Bangor University at WojoodNER 2024: Advancing Arabic Named Entity Recognition with CAMeLBERT-Mix

Norah Alshammari

DRU at WojoodNER 2024: A Multi-level Method Approach

Hadi Hamoud, Chadi Abou Chakra, Nancy Hamdan, Osama Rakan Al Mraikhat, Doha Albared

Addax at WojoodNER 2024: Attention-Based Dual-Channel Neural Network for Arabic Named Entity Recognition

Issam Yahia, Houdaifa Atou, Ismail Berrada

muNERa at WojoodNER 2024: Multi-tasking NER Approach

Nouf Alotaibi, Haneen Alhomoud, Hanan Murayshid, Waad Alshammari, Nouf Alshalawi

WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task

Mustafa Jarrar, Nagham Hamad, Mohammed Khalilia, Bashar Talafha, AbdelRahim Elmadany

TAO at StanceEval2024 Shared Task: Arabic Stance Detection using AraBERT

Anas Melhem, Osama Hamed, Thaer Sammar

PICT at StanceEval2024: Stance Detection in Arabic using Ensemble of Large Language Models

Ishaan Shukla, Ankit Vaidya, Geetanjali Kale

ISHFMG_TUN at StanceEval: Ensemble Method for Arabic Stance Evaluation System

Ammar Mars, Mustapha Jaballah, Dhaou Ghoul

Rasid at StanceEval: Fine-tuning MARBERT for Arabic Stance Detection

Nouf AlShenaifi, Nourah Alangari, Hadeel Al-Negheimish

AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic

Mohamed Badran, Mo’men Hamdy, Marwan Torki, Nagwa El-Makky