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ORCID6th ClinicalNLP@NAACL 2024: Mexico City, Mexico
- Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Danielle S. Bitterman:
Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-109-4 - Yu-Wen Chen, Julia Hirschberg:
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes. 1-9 - Julien Khlaut, Corentin Dancette, Elodie Ferreres, Alaedine Bennani, Paul Hérent, Pierre Manceron:
Efficient Medical Question Answering with Knowledge-Augmented Question Generation. 10-20 - Ankit Pal, Malaikannan Sankarasubbu:
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations. 21-46 - Angelo Ziletti, Leonardo D'Ambrosi:
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records. 47-53 - Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu:
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes. 54-63 - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf:
Working Alliance Transformer for Psychotherapy Dialogue Classification. 64-69 - Siting Liang, Daniel Sonntag:
Building A German Clinical Named Entity Recognition System without In-domain Training Data. 70-81 - Sergio Burdisso, Ernesto Reyes-Ramírez, Esaú Villatoro-Tello
, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Petr Motlícek:
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews. 82-90 - Aryo Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex:
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain. 91-104 - Vicente Iván Sánchez Carmona, Shanshan Jiang, Bin Dong:
A Multilevel Analysis of PubMed-only BERT-based Biomedical Models. 105-110 - Claudio Aracena, Luis Miranda, Thomas Vakili, Fabián Villena, Tamara Quiroga, Fredy Núñez-Torres, Victor Rocco, Jocelyn Dunstan:
A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks. 111-121 - Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. 122-161 - Livia Lilli, Stefano Patarnello, Carlotta Masciocchi, Valeria Masiello, Fabio Marazzi, Tagliaferri Luca, Nikola Dino Capocchiano:
LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports. 162-171 - Hugo Boulanger, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol:
Using Structured Health Information for Controlled Generation of Clinical Cases in French. 172-184 - Ibtihel Amara, Haiyang Yu, Fan Zhang, Yuchen Liu, Benny Li, Chang Liu, Rupesh Kartha, Akshay Goel:
Large Language Models Provide Human-Level Medical Text Snippet Labeling. 185-195 - Aylin Gunal, Baihan Lin, Djallel Bouneffouf:
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. 196-201 - Faizan E. Mustafa, Corina Dima, Juan G. Díaz Ochoa, Steffen Staab:
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German. 202-207 - Tom Roehr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno K. Bressem, Wolfgang Nejdl, Alexander Löser:
Revisiting Clinical Outcome Prediction for MIMIC-IV. 208-217 - Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini:
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain. 218-237 - Yan Cong, Jiyeon Lee, Arianna LaCroix:
Leveraging pre-trained large language models for aphasia detection in English and Chinese speakers. 238-245 - Cuong Nhat Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas A. Runkler:
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering. 246-257 - Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi:
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications. 258-270 - Jon Z. Cai, Kristin Wright-Bettner, Martha Palmer, Guergana Savova, James H. Martin:
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative - the SPRING THYME parser. 271-282 - Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. 283-291 - Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. 292-300 - Liam Hazan, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Gili Focht, Dan Turner, Moti Freiman:
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. 301-309 - Zhengyuan Liu, Siti Umairah Md. Salleh, Pavitra Krishnaswamy, Nancy F. Chen:
Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation. 310-321 - Kirill Milintsevich, Gaël Dias, Kairit Sirts:
Evaluating Lexicon Incorporation for Depression Symptom Estimation. 322-328 - Soichiro Sugihara, Tomoyuki Kajiwara, Takashi Ninomiya, Shoko Wakamiya, Eiji Aramaki:
Semi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology. 329-333 - Hyeonjin Kim, Min Kim, Jae Jang, KiYoon Yoo, Nojun Kwak:
TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. 334-338 - Nadia Saeed:
MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning. 339-345 - Nadia Saeed:
MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch. 346-352 - Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction. 353-359 - Satya Kesav Gundabathula, Sriram R. Kolar:
PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs. 360-366 - Satya Kesav Gundabathula, Sriram R. Kolar:
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles. 367-373 - Suramya Jadhav, Abhay Shanbhag, Sumedh Joshi, Atharva Date, Sheetal Sonawane:
Maven at MEDIQA-CORR 2024: Leveraging RAG and Medical LLM for Error Detection and Correction in Medical Notes. 374-381 - Shohreh Haddadan, Tuan-Dung Le, Thanh Duong, Thanh Thieu:
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment. 382-393 - Vishakha Sharma, Andres Fernandez, Andrei Ioanovici, David Talby, Frederik Buijs:
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records. 394-405 - Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent:
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? 406-416 - Yukun Tan, Merve Dede, Ken Chen:
KCLab at Chemotimelines 2024: End-to-end system for chemotherapy timeline extraction - Subtask2. 417-421 - Sourav Joy, Rohan Ahmed, Argha Saha, Minhaj Habil, Utsho Das, Partha Bhowmik:
Project PRIMUS at EHRSQL 2024 : Text-to-SQL Generation using Large Language Model for EHR Analysis. 422-427 - Jeff Zhang, Yin Aphinyanaphongs, Anthony Cardillo:
NYULangone at Chemotimelines 2024: Utilizing Open-Weights Large Language Models for Chemotherapy Event Extraction. 428-430 - Oleg Somov, Alexey Dontsov, Elena Tutubalina:
AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue. 431-438 - Marie Bauer, Constantin Seibold, Jens Kleesiek, Amin Dada:
IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations. 439-447 - Ricardo García, Oscar Lithgow-Serrano:
NEUI at MEDIQA-M3G 2024: Medical VQA through consensus. 448-460 - Juan Pajaro, Edwin Puertas, David Villate, Laura Estrada, Laura Tinjaca:
VerbaNexAI at MEDIQA-CORR: Efficacy of GRU with BioWordVec and ClinicalBERT in Error Correction in Clinical Notes. 461-469 - Airat Valiev, Elena Tutubalina:
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction. 470-482 - Liwei Wang, Qiuhao Lu, Rui Li, Sunyang Fu, Hongfang Liu:
Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives. 483-487 - Aryo Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Ian Simpson, Beatrice Alex:
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints. 488-501 - Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Sunjae Kwon, Junda Wang, Hong Yu:
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis. 502-525 - Hyeon Hwang, Taewhoo Lee, Hyunjae Kim, Jaewoo Kang:
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction. 526-536 - Renad Alzghoul, Ayaabdelhaq Ayaabdelhaq, Abdulrahman Tabaza, Ahmad Altamimi:
CLD-MEC at MEDIQA- CORR 2024 Task: GPT-4 Multi-Stage Clinical Chain of Thought Prompting for Medical Errors Detection and Correction. 537-556 - Jiarui Yao, Harry Hochheiser, Wonjin Yoon, Eli Goldner, Guergana Savova:
Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction. 557-569 - Jean-Philippe Corbeil:
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task on the Shoulders of Medical Agents. 570-580 - Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen, Martin Krallinger:
Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation. 581-589 - Swati Rajwal, Eugene Agichtein, Abeed Sarker:
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction. 590-595 - Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen:
Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction. 596-603 - Xingmeng Zhao, Anthony Rios:
UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction. 604-615 - Augustin Toma, Ronald Xie, Steven Palayew, Patrick R. Lawler, Bo Wang:
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction. 616-623 - Augustin Toma, Ronald Xie, Steven Palayew, Gary D. Bader, Bo Wang:
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models. 624-634 - Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee:
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. 635-643 - Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi:
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records. 644-654 - Mohammed Jabir, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu:
Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM. 655-671 - Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang:
KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR. 672-686 - Sangryul Kim, Donghee Han, Sehyun Kim:
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling. 687-696 - Jerrin Thomas, Pruthwik Mishra, Dipti Misra Sharma, Parameswari Krishnamurthy:
LTRC-IIITH at EHRSQL 2024: Enhancing Reliability of Text-to-SQL Systems through Abstention and Confidence Thresholding. 697-702 - Jerrin Thomas, Sushvin Marimuthu, Parameswari Krishnamurthy:
LTRC-IIITH at MEDIQA-M3G 2024: Medical Visual Question Answering with Vision-Language Models. 703-707
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