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  3. A Closed-Form Solution for Debiasing Vision-Language Models
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A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks

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Freshness: 2026-04-02T02:30:40.136932+00:00

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References: 0

Proof: pending

Distribution: unknown

Source paper: A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks

PDF: https://arxiv.org/pdf/2603.12998v1

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Dimensions overall score 7.0

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FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
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Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection
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SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
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LinguDistill: Recovering Linguistic Ability in Vision- Language Models via Selective Cross-Modal Distillation
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