Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification
Year: 2026
Type: conference-paper
Abstract: We describe our system for the NakbaVirality shared task on multimodal virality classification.Our final approach uses a frozen LAION CLIP backbone, a lightweight residual adapter over fused text-image embeddings, and a small MLP classification head.On our development split, the best configuration (V9) achieves Macro-F1 of 0.5492 and virality-weighted F1 of 0.5252.On our official test submission, our system obtains F1-score 0.4559 and accuracy 0.6089 according to the platform scorer.We provide implementation details, ablations across multiple versions (Baseline-V9), and practical error analysis for reproducibility.
Authors: Xinyan Zhang, Bingzhou Yang
Institution: Dalian University of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166506241