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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Proceedings 2025 IEEE Cvf International Conference on Computer Vision Workshops Iccv W 2025
Pages
1502-1512
Published
1 January 2025
DOI
10.1109/iccvw69036.2025.00160
Scopus ID
105035218885
Authors
2
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 10 Reduce inequality within and among countries

    GoalPrimaryHigh confidenceJudged

    Evaluates cultural competence in vision-language models through multimodal story generation to address algorithmic bias and ensure equitable AI across diverse populations.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-4.1 Transparency, accountability and the rule of law

    Sub-themePrimaryHigh confidenceJudged

    Ethical AI evaluation and cultural fairness in machine learning support transparency and responsible artificial intelligence development.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation”. Kortex.

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