Vol-3755⫷ Vol-3756 ⫸Vol-3757
urn:nbn:de:0074-3756-0


Vol-3756/HOMO-MEX2024_paper5⫷Vol-3756/HOMO-MEX2024_paper6⫸Vol-3756/HOMO-MEX2024_paper7

I2C-UHU at HOMO-MEX 2024: Leveraging Large Language Models and Ensembling Transformers to Identify and Classify Hate Messages Towards the LGBTQ+ Community