polarization detection

PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection SemEval 2026 PolarMind at SemEval-2026 Task 9: Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization SemEval 2026 PolDeck at SemEval-2026 Task 9: Multilingual Online Polarization Detection via Hybrid Model Ensembling and Data Augmentation SemEval 2026 PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation SemEval 2026 REGLAT at SemEval-2026 Task 9: Enhancing Arabic Online Polarization Detection Using AraBERT and Synonym Replacement Augmentation SemEval 2026 Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection SemEval 2026 Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling SemEval 2026 ServSocIA at Semeval-2026 Task 9: Evaluating Prompt Strategies for Polarization Detection SemEval 2026 SMASH at SemEval-2026 Task 9: Detecting Multilingual Polarisation with Encoder Ensembles and Calibrated Decision Thresholds SemEval 2026 StanceLab at SemEval-2026 Task 9: Addressing Class Imbalance in Multilingual Polarization Detection SemEval 2026 Taien at SemEval-2026 Task 9: Multilingual Polarization Detection Using Transformer-based Models SemEval 2026 Team HausaNLP at SemEval-2026 Task 9: Tackling Class Imbalance in Low-Resource Hausa Polarization Detection SemEval 2026 Team JAT at SemEval-2026 Task 9: Enhancing Polarization Detection with Cross-Lingual Transfer and Feature Fusion SemEval 2026 Team YTY at SemEval 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning SemEval 2026 The Argonauts at SemEval-2026 Task 9: Multilingual Polarization Detection and Classification Using LLM Prompting and Transformer Fine-Tuning SemEval 2026 The Counterfactuals at SemEval-2026 Task 9: Can Counterfactually-Inspired Preprocessing help Detect Polarization? SemEval 2026 Tralaleros at SemEval-2026 Task 9: Multilingual Polarization Detection with Transformer-based Models SemEval 2026 transformer_1376 at SemEval-2026 Task 9: A Multi-Stage Pipeline with Calibrated Ensembles and Lexical Post-Processing for Online Polarization Detection in Bengali SemEval 2026 UMUSP at SemEval-2026 Task 9: Mitigating Cross-Lingual Interference via Selective Multilingual and Multitask Specialization SemEval 2026 UNED at SemEval-2026 Task 9: Sentiment-Aware Transformer Models with Back-Translation Augmentation for Online polarisation Detection SemEval 2026 UPR at SemEval-2026 Task 9: Polarization Detection in Urdu with Language-Specific Transformer and Data Augmentation SemEval 2026 VGU-M.Tech-AI at SemEval-2026: Multilingual Multi-Label Classification of Online Polarization Types via Weighted Transformer Fine-Tuning and Adaptive Per-Label Threshold Optimization SemEval 2026 zhangpeng at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization SemEval 2026 A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information ACL 2025 Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model AISTATS 2023