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No exact ID match for "2212.09748". Showing results for "Scalable Diffusion Models with Transformers" instead.
RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou · Mar 16, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 28% Sparse protocol signal Freshness: Warm Status: Ready
General
  • Transformer based diffusion and vision-language models have achieved remarkable success; yet, efficiently removing undesirable or sensitive information without retraining remains a central challenge for model safety and compliance.
  • We evaluate RAZOR on CLIP, Stable Diffusion, and vision-language models (VLMs) using widely adopted unlearning benchmarks covering identity, style, and object erasure tasks.
Open paper
Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation

Xiaomeng Yang, Mengping Yang, Jia Gong, Luozheng Qin, Zhiyu Tan, Hao Li · Feb 4, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 30% Moderate protocol signal Freshness: Cold Status: Ready
Pairwise Preference Automatic Metrics General
  • However, they usually fail to produce satisfactory outputs that are aligned to users' authentic demands and preferences.
  • In this work, we introduce Dual-Iterative Optimization (Dual-IPO), an iterative paradigm that sequentially optimizes both the reward model and the video generation model for improved synthesis quality and human preference alignment.
Open paper

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