Papers
327 papers found
BSC Submission to the AmericasNLP 2024 Shared Task
Javier Garcia Gilabert, Aleix Sant, Carlos Escolano et al.
System Description of the NordicsAlps Submission to the AmericasNLP 2024 Machine Translation Shared Task
Joseph Attieh, Zachary Hopton, Yves Scherrer et al.
JGU Mainz’s Submission to the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages
Minh Duc Bui, Katharina von der Wense
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task
Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.
Findings of the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages
Luis Chiruzzo, Pavel Denisov, Alejandro Molina-Villegas et al.
Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages
Abteen Ebrahimi, Ona de Gibert, Raul Vazquez et al.
The British Council submission to the BEA 2024 shared task
Mariano Felice, Zeynep Duran Karaoz
ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models
Anaïs Tack, Siem Buseyne, Changsheng Chen et al.
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
George Duenas, Sergio Jimenez, Geral Mateus Ferro
UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams
Alvaro Rodrigo, Sergio Moreno-Álvarez, Anselmo Peñas
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline
Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro et al.
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?
Taisei Enomoto, Hwichan Kim, Tosho Hirasawa et al.
ISEP_Presidency_University at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes for Lexical Simplification
Benjamin Dutilleul, Mathis Debaillon, Sandeep Mathias
Archaeology at MLSP 2024: Machine Translation for Lexical Complexity Prediction and Lexical Simplification
Petru Cristea, Sergiu Nisioi
RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models
Ignacio Sastre, Leandro Alfonso, Facundo Fleitas et al.
GMU at MLSP 2024: Multilingual Lexical Simplification with Transformer Models
Dhiman Goswami, Kai North, Marcos Zampieri
TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis
Hyeonjin Kim, Min Kim, Jae Jang et al.
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
Zhaolong Wu, Abul Hasan, Jinge Wu et al.
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
Satya Gundabathula, Sriram Kolar
Maven at MEDIQA-CORR 2024: Leveraging RAG and Medical LLM for Error Detection and Correction in Medical Notes
Suramya Jadhav, Abhay Shanbhag, Sumedh Joshi et al.
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment
Shohreh Haddadan, Tuan-Dung Le, Thanh Duong et al.
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records
Vishakha Sharma, Andres Fernandez, Andrei Ioanovici et al.