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.
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.
DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
Participation in SemEval 2025 Task 9: The Food Hazard Detection Challenge. [Official SemEval 2025 Task 9 GitHub]:
Add a description, image, and links to the semeval-2025 topic page so that developers can more easily learn about it.
To associate your repository with the semeval-2025 topic, visit your repo's landing page and select "manage topics."