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    <abstract>This paper describes our system used in theSemEval-2025 Task 9 The Food Hazard Detec-tion Challenge. Through data processing thatremoves elements and shared multi-task archi-tecture improve the performance of detection.Without complex architectural modificationsthe proposed method achieves competitive per-formance with 0.7835 Marco F1-score on sub-task 1 and 0.4712 Marco F1-score on sub-task2. Comparative experiments reveal that jointprediction outperforms separate task trainingby 1.3% F1-score, showing the effectiveness ofmulti-task learning of this challenge</abstract>
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%0 Conference Proceedings
%T Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection
%A Sun, Dapeng
%A Li, Sensen
%A Wang, Yike
%A Zhang, Shaowu
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F sun-etal-2025-zuifeng
%X This paper describes our system used in theSemEval-2025 Task 9 The Food Hazard Detec-tion Challenge. Through data processing thatremoves elements and shared multi-task archi-tecture improve the performance of detection.Without complex architectural modificationsthe proposed method achieves competitive per-formance with 0.7835 Marco F1-score on sub-task 1 and 0.4712 Marco F1-score on sub-task2. Comparative experiments reveal that jointprediction outperforms separate task trainingby 1.3% F1-score, showing the effectiveness ofmulti-task learning of this challenge
%U https://aclanthology.org/2025.semeval-1.73/
%P 527-531

Markdown (Informal)

[Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection](https://aclanthology.org/2025.semeval-1.73/) (Sun et al., SemEval 2025)

• Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection (Sun et al., SemEval 2025)

ACL

• Dapeng Sun, Sensen Li, Yike Wang, and Shaowu Zhang. 2025. Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 527–531, Vienna, Austria. Association for Computational Linguistics.