Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification

Xinyan Zhang; Bingzhou Yang

doi:10.63317/3myy3h8imvfz

Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification

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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 the 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.

Anthology ID:: 2026.nakbanlp-1.19
Volume:: Proceedings of the 2nd International Workshop on Nakba Narratives as Language Resources @ LREC 2026
Month:: May
Year:: 2026
Address:: Palma, Mallorca (Spain)
Editors:: Mustafa Jarrar, Mo El-Haj, Amal Haddad, Serin Atiani, Shadi Abudalfa, Terry Regier, Paul Rayson, Khalil Sima’an, Camille Mansour
Venues:: NakbaNLP | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 144–146
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-nakbanlp-19
DOI:: 10.63317/3myy3h8imvfz
Bibkey:
Cite (ACL):: Xinyan Zhang and Bingzhou Yang. 2026. Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification. In Proceedings of the 2nd International Workshop on Nakba Narratives as Language Resources @ LREC 2026, pages 144–146, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):: Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification (Zhang & Yang, NakbaNLP 2026)
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@inproceedings{zhang-yang-2026-xin1212,
    title = "Xin1212 at {N}akba{V}irality Shared Task: Frozen {CLIP} with Residual Adapter for Multimodal Virality Classification",
    author = "Zhang, Xinyan  and
      Yang, Bingzhou",
    editor = "Jarrar, Mustafa  and
      El-Haj, Mo  and
      Haddad, Amal  and
      Atiani, Serin  and
      Abudalfa, Shadi  and
      Regier, Terry  and
      Rayson, Paul  and
      Sima{'}an, Khalil  and
      Mansour, Camille",
    booktitle = "Proceedings of the 2nd International Workshop on Nakba Narratives as Language Resources @ {LREC} 2026",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.nakbanlp-1.19/",
    doi = "10.63317/3myy3h8imvfz",
    pages = "144--146",
    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 the 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."
}

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%0 Conference Proceedings
%T Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification
%A Zhang, Xinyan
%A Yang, Bingzhou
%Y Jarrar, Mustafa
%Y El-Haj, Mo
%Y Haddad, Amal
%Y Atiani, Serin
%Y Abudalfa, Shadi
%Y Regier, Terry
%Y Rayson, Paul
%Y Sima’an, Khalil
%Y Mansour, Camille
%S Proceedings of the 2nd International Workshop on Nakba Narratives as Language Resources @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F zhang-yang-2026-xin1212
%X 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 the 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.
%R 10.63317/3myy3h8imvfz
%U https://aclanthology.org/2026.nakbanlp-1.19/
%U https://doi.org/10.63317/3myy3h8imvfz
%P 144-146

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Markdown (Informal)

[Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification](https://aclanthology.org/2026.nakbanlp-1.19/) (Zhang & Yang, NakbaNLP 2026)

Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification (Zhang & Yang, NakbaNLP 2026)

ACL

Xinyan Zhang and Bingzhou Yang. 2026. Xin1212 at NakbaVirality Shared Task: Frozen CLIP with Residual Adapter for Multimodal Virality Classification. In Proceedings of the 2nd International Workshop on Nakba Narratives as Language Resources @ LREC 2026, pages 144–146, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).