@inproceedings{phat-2026-phatthachdau,
title = "Phatthachdau at {S}em{E}val-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection",
author = "Phat, Phan",
editor = "Kochmar, Ekaterina and
Ghosh, Debanjan and
North, Kai and
Komachi, Mamoru",
booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.semeval-1.208/",
pages = "1616--1620",
ISBN = "979-8-89176-414-9",
abstract = "Address the extreme label imbalance in the Hausa dataset where only 11{\%} of instances are polarized{---}through the Augment-Judge-Train (AJT) pipeline. By leveraging Gemini 2.0 for taxonomy-driven data generation and an LLM-as-a-Judge layer for quality control, we expanded the minority class sixfold. Our ensemble architecture, combining specialized Encoders with LLM-LORA, achieved 1st Place in Hausa (0.8336 Macro-F1) and ranked in the Top 10 for English. These results demonstrate the efficacy of culture-aware synthetic data in enhancing social NLP for low-resource languages."
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%0 Conference Proceedings
%T Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection
%A Phat, Phan
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F phat-2026-phatthachdau
%X Address the extreme label imbalance in the Hausa dataset where only 11% of instances are polarized—through the Augment-Judge-Train (AJT) pipeline. By leveraging Gemini 2.0 for taxonomy-driven data generation and an LLM-as-a-Judge layer for quality control, we expanded the minority class sixfold. Our ensemble architecture, combining specialized Encoders with LLM-LORA, achieved 1st Place in Hausa (0.8336 Macro-F1) and ranked in the Top 10 for English. These results demonstrate the efficacy of culture-aware synthetic data in enhancing social NLP for low-resource languages.
%U https://aclanthology.org/2026.semeval-1.208/
%P 1616-1620
Markdown (Informal)
[Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection](https://aclanthology.org/2026.semeval-1.208/) (Phat, SemEval 2026)
ACL