Multimodal Alignment for a Pluralistic Society (MAPS) Call for Papers

We are excited to announce the 
Multimodal Alignment for a Pluralistic Society (MAPS) 
workshop at CVPR 2026, 
featuring an outstanding lineup of speakers. This workshop will bring
together researchers from CV, NLP, HCI, social sciences, and
humanities, recognizing that pluralistic multimodal AI systems demand
both technical expertise and an understanding of human values.

We invite you to:

    Participate in our challenge. We host a challenge on Machine
    Translation for Vision, which focuses on adapting images to fit
    different cultures while keeping their meaning. We offer two
    tracks: open (using open-sourced models only) and proprietary (any
    use of proprietary models). More details on the dataset and the
    task can be found in the paper, which won the Best Paper award at
    EMNLP 2024! The challenge will be hosted on Hugging Face
    challenges. The results of the challenges and winning entries will
    be presented at the workshop. Participate here:
    https://huggingface.co/spaces/cmu-lti/MachineTranslationforVision

Start date: March 3, 2026

End date: April 10, 2026

    Submit your papers of up to 4 pages that discuss but are not
    limited to identifying effective evaluation tasks, benchmarks, and
    metrics to assess cultural awareness and alignment in VLMs; new
    methodology for improving cultural authenticity, pluralism, and
    fairness of AI systems; and new techniques for capturing multiple
    cultural perspectives and building multimodal models that can
    amplify underrepresented communities and handle low-resource data
    at scale.

Start date: March 3, 2026

End date: April 10, 2026

Submit via OpenReview: 
https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/MAPS 

For more details see the Call for Papers: 
https://sites.google.com/view/maps-cvpr/call-for-papers. 

Useful links:

    Workshop Website: https://sites.google.com/view/maps-cvpr

    Call for Papers: https://sites.google.com/view/maps-cvpr/call-for-papers

    Challenges: https://sites.google.com/view/maps-cvpr/challenges  

Please feel free to share this with colleagues who may be
interested. We look forward to your participation.

For any workshop-related queries including the challenge, please drop
an email at maps.cvpr@gmail.com.

Yours sincerely,