arXiv AI
Aug 12
On the Limitations of Cross-Lingual Consistency in Multilingual Text-to-image Generation
arXiv:2608. 11002v1 Announce Type: cross Abstract: Text-to-image (T2I) generation has achieved remarkable progress in recent years.
Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems
The paper "Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems" investigates how commercial text‑to‑image models silently modify user prompts before generating images, a step that is often hidden from users. Using the multilingual benchmark WORLDVIEW, the authors audit the revision layer in DALL‑E‑3, Imagen‑4, and GPT‑Image‑1.5, finding that non‑Western and non‑Anglophone contexts are disproportionately marked, reduced to narrow vocabularies, and stereotyped. The study demonstrates that the revision layer itself is a previously undocumented causal source of cultural stereotyping, underscoring the need to audit deployed systems rather than just the underlying models.
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arXiv AI
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arXiv AI
Jul 23
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arXiv Machine Learning
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CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia
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Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models
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arXiv Machine Learning
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arXiv Computation and Language
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arXiv AI
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arXiv AI
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When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation
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arXiv AI
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PAUSE: Editable Strategy Artifacts for Long-Form Cultural Story Adaptation
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