SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection

[ACL 2025] 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.

This is the repository of the MyMy team, ranked Top 2 in Subtask 1 and Top 2 in Subtask 2 at the SemEval 2025 Task 9: Food Hazard Detection Challenge.

DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing

This repository is for the paper UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1709–1717, Vienna, Austria. Association for Computational Linguistics.

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.

A seminar project for PV057 Machine Learning and Data Mining class.

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)