Co-occurring keywords · papers mentioning both
Papers
ABCD at SemEval-2025 Task 9: BERT-based and Generation-based models combine with advanced weighted majority soft voting strategy
SemEval 2025
BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models
SemEval 2025
CICL at SemEval-2025 Task 9: A Pilot Study on Different Machine Learning Models for Food Hazard Detection Challenge
SemEval 2025
CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in Text
SemEval 2025
Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports
SemEval 2025
Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection
SemEval 2025
Howard University-AI4PC at SemEval-2025 Task 9: Using Open-weight BART-MNLI for Zero Shot Classification of Food Recall Documents
SemEval 2025
HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance
SemEval 2025
madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction
SemEval 2025
MyMy at SemEval-2025 Task 9: A Robust Knowledge-Augmented Data Approach for Reliable Food Hazard Detection
SemEval 2025
OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard Detection
SemEval 2025
SemEval-2025 Task 9: The Food Hazard Detection Challenge
SemEval 2025
SRCB at SemEval-2025 Task 9: LLM Finetuning Approach based on External Attention Mechanism in The Food Hazard Detection
SemEval 2025
Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
SemEval 2025
VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food Hazards
SemEval 2025
Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection
SemEval 2025