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most citedRetrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering

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cs.CV2025

Concept-Centric Token Interpretation for Vector-Quantized Generative Models

Tianze Yang, Yucheng Shi, Mengnan Du +4

Vector-Quantized Generative Models (VQGMs) have emerged as powerful tools for image generation. However, the key component of VQGMs -- the codebook of discrete tokens -- is still n…