Open access
2026
Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling
A Siamese dual-encoder jointly fine-tuning mDeBERTa-v3-base and XLM-RoBERTa-large via 4-bit QLoRA fused with language-specific expert models fused with language-specific expert models through an XGBoost meta-stacker with per-language Platt calibration achieves macro-F1 = 0.797 and accuracy = 0.827 across all 22 languages.
A. Dash, Priyanshu Mittal, Piyush Prashant et al.
· SemEval@ACL · 1 citation