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On hate scaling laws for data-swamps

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2 Pith papers citing it

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cs.CV 1 cs.HC 1

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2026 2

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UNVERDICTED 2

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Bias at the End of the Score

cs.CV · 2026-04-14 · unverdicted · novelty 6.0

Reward models used as quality scorers in text-to-image generation encode demographic biases that cause reward-guided training to sexualize female subjects, reinforce stereotypes, and reduce diversity.

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  • Computer-Aided Tagging on Wikimedia Commons: Designing for Human-AI Collaboration in Open Knowledge Work cs.HC · 2026-05-29 · unverdicted · none · ref 3

    Qualitative study of the CAT tool on Wikimedia Commons identifies seven issues from community comments and interviews that led to mixed reception and deactivation, with suggestions for human-AI collaboration in open knowledge work.

  • Bias at the End of the Score cs.CV · 2026-04-14 · unverdicted · none · ref 5

    Reward models used as quality scorers in text-to-image generation encode demographic biases that cause reward-guided training to sexualize female subjects, reinforce stereotypes, and reduce diversity.