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most citedUnveiling Decision-Making in LLMs for Text Classification : Extraction of influential and interpretable concepts with Sparse Autoencoders

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cs.CV2026

Leveraging Contrastive Learning for a Similarity-Guided Tampered Document Data Generation Pipeline

Mohamed Dhouib, Davide Buscaldi, Sonia Vanier +1

Detecting tampered text in document images is a challenging task due to data scarcity. To address this, previous work has attempted to generate tampered documents using rule-based…