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20242026
most citedWellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions

6 citations · 12 across the 16 of their papers we have counts for

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cs.CV2026

To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace Expansion

Shaswati Saha, Rajasekhar Anguluri, Manas Gaur

Concept erasure techniques (CETs) edit text-to-image diffusion models to erase undesired targets such as NSFW content or copyrighted styles, while preserving model utility on benig…