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        <title>madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction</title>
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    <abstract>This paper presents a hybrid approach to food hazard detection for SemEval-2025 Task 9, combining traditional machine learning with advanced language models. For hazard classification (Sub-Task 1), we implemented a novel ensemble system integrating XGBoost with fine-tuned GPT-2 Large and LLaMA 3.1 1B models. For vector detection (Sub-Task 2), we employed a prompt-engineered approach using Flan-T5-XL, highlighting challenges in exact vector matching. Our analysis demonstrates the effectiveness of combining complementary models while revealing opportunities for improvement in rare category detection and extraction precision.</abstract>
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%0 Conference Proceedings
%T madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction
%A S, Madhan
%A R, Gnanesh
%A D, Gopal
%A Saumya, Sunil
%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 s-etal-2025-madhans476
%X This paper presents a hybrid approach to food hazard detection for SemEval-2025 Task 9, combining traditional machine learning with advanced language models. For hazard classification (Sub-Task 1), we implemented a novel ensemble system integrating XGBoost with fine-tuned GPT-2 Large and LLaMA 3.1 1B models. For vector detection (Sub-Task 2), we employed a prompt-engineered approach using Flan-T5-XL, highlighting challenges in exact vector matching. Our analysis demonstrates the effectiveness of combining complementary models while revealing opportunities for improvement in rare category detection and extraction precision.
%U https://aclanthology.org/2025.semeval-1.88/
%P 627-633

Markdown (Informal)

[madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction](https://aclanthology.org/2025.semeval-1.88/) (S et al., SemEval 2025)

• madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction (S et al., SemEval 2025)

ACL

• Madhan S, Gnanesh R, Gopal D, and Sunil Saumya. 2025. madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 627–633, Vienna, Austria. Association for Computational Linguistics.