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Papers
Aaron at SemEval-2026 Task 9: Multilingual Polarization Detection using Transformer-Based Models with Class Weighting and Threshold Tuning
SemEval 2026
Aatman at SemEval-2026 Task 9: Transfer Learning for Multilingual Polarization Detection
SemEval 2026
ABARUAH at SemEval-2026 Task 9: Multilingual Polarization Detection across Seven Indic Languages using Qwen3
SemEval 2026
AIvengers at SemEval-2026 Task 9: Utilizing Language Specific Encoders for Multilingual Text Classification
SemEval 2026
BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection
SemEval 2026
CoPol at SemEval-2026 Task 9: Modeling Polarization Type Co-occurrence with Label Correlation Networks
SemEval 2026
CUET-823 at SemEval-2026 Task 9: LoRA-Based Instruction Fine-Tuning of LLMs vs. Transformer Models for Bengali Polarization Detection
SemEval 2026
DataBees at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
SemEval 2026
DUTH at SemEval-2026 Task 9: Joint Multilingual Fine-Tuning for Online Polarization Detection
SemEval 2026
ILab-NLP at SemEval-2026 Task 9: Comparing XLM-RoBERTa and LLaMA-2 for Multilingual Polarization Detection
SemEval 2026
INFOTEC-NLP at SemEval-2026 Task 9: Comparing Regional Transformers and Bag-of-Words Approaches for Polarization Detection in Spanish
SemEval 2026
IReL_IIT(BHU) at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
SemEval 2026
Joshualee2 at SemEval-2026 Task 9: Cross-Lingual Transformer-Based Polarization Detection
SemEval 2026
LingoResearchGroup at SemEval-2026 Task 9: Evaluating Prompt Variants for Polarization Detection
SemEval 2026
MINDS at SemEval-2026 Task 9: A Multi-Paradigm Approach to Cross-Lingual Polarization Detection
SemEval 2026
MoMo at SemEval-2026 Task 9: Inference-Only Prompting vs. Fine-Tuning for Multilingual Polarization Detection
SemEval 2026
NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification
SemEval 2026
NASIMLab at SemEval-2026 Task 9: A Comparative Analysis of Fine-Tuned Small Language Models vs. Generative Large Language Models for Multilingual Polarization Type Detection
SemEval 2026
NIT-Agartala-NLP-Team at SemEval-2026 Task 9: A Weighted Soft-Voting Ensemble Framework of Fine-Tuned LLMs for Binary and Multi-Label Polarization Detection
SemEval 2026
NLP-CIMAT at SemEval-2026 Task 9: LLM-Based One-Shot and Cross-Lingual Data Augmentation for Polarization Detection
SemEval 2026
NYCU-NLP at SemEval-2026 Task 9: Stacking Small Language Models for Multilingual, Multicultural and Multievent Polarization Detection
SemEval 2026
Online Polarization Detection in Persian (Farsi) Social Media
EACL 2026
pfr821 at SemEval-2026 Task 9: Multilingual Polarization Detection via Hybrid XLM-RoBERTa with Targeted Data Augmentation and Imbalance-Aware Training
SemEval 2026
PingAn-NLP at SemEval-2026 Task 9: Multi-Stage Alignment via GRPO and Tiered Ensemble Voting for Multilingual Polarization Detection
SemEval 2026
PolaFusion at SemEval-2026 Task 9: Ensemble Transformers with Targeted Augmentation for Multilingual Polarization Detection
SemEval 2026