Author

Yi-Fan Gong

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#artificial intelligence Jun 2026

HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing

This work proposes HiLo-Token, an input-adaptive token compression framework that allocates more token budget to high-frequency, rich-context regions while assigning fewer tokens to low-frequency areas, and introduces a simple yet effective high-frequency token selection strategy based on spatial frequency.

Hao-Ran You, Yotam Nitzan, Lingzhi Zhang et al. · arXiv.org · 0 citations

Preprint Aug 2026

Unlearning Is Not Just Erasing: Temporal Decoupling via Generation Inequality

ADU is presented, a fine-grained, training-based framework that shifts unlearning from token erasure to contextual attention-pathway decoupling, and achieves the strongest aggregate performance among evaluated baselines on the TOFU and WMDP benchmarks.

Xun-Lei Chen, Qi-Rui Ye, Yuang Li et al. · 0 citations