SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection
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Updated
Apr 6, 2025 - Jupyter Notebook
SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection
Knowledge Unlearning for Large Language Models
This is the official repository of Team Anastasia, which achieved 1st place in Subtask 1 of the SemEval 2025 challenge.
A seminar project for PV057 Machine Learning and Data Mining class.
DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
Solution for SemEval-2025 Task 9: The Food Hazard Detection Challenge. Utilized machine learning, fine-tuned LLMs (GPT-2, LLaMA, Flan-T5-XL), and ensemble learning to classify food hazards and detect specific products and hazards from unstructured text.
Code for my undergrad bachelor's thesis for the SemEval-2025 Task 10: Narrative Classification.
Participation in SemEval 2025 Task 9: The Food Hazard Detection Challenge. [Official SemEval 2025 Task 9 GitHub]:
Repositório principal das turmas de compiladores (2025-1)
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