SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models | ScienceToStartup | ScienceToStartup

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References (30)

[1]

Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features Alone

2025Antonio Barbalau, Cristian Daniel Paduraru et al.

[2]

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection

2025Mahdiyar Molahasani, A. Motamedi et al.

[3]

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers

Founder's Pitch

"A zero-shot debiasing framework for vision-language models that precisely removes social biases without sacrificing performance."

Vision-Language Models•Score: 7•View PDF ↗

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SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models

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References (30)

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"A zero-shot debiasing framework for vision-language models that precisely removes social biases without sacrificing performance."

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SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models

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References (30)

Founder's Pitch

"A zero-shot debiasing framework for vision-language models that precisely removes social biases without sacrificing performance."

Commercial Viability Breakdown

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