Author

Vincent-Daniel Yun

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#artificial intelligence Preprint Aug 2026

Output-Aware Rotation for INT2 KV-Cache Quantization

The key-value (KV) cache has become a major memory and bandwidth bottleneck in long-context large language model inference, making ultra-low-bit quantization increasingly important. However, existing rotation-based INT2 methods optimize cache statistics or proxy errors before the complete attention readout, even though...

Vincent-Daniel Yun, Woo-Sang Lim, Minsoo Cheong et al. · 1 citation

#artificial intelligence May 2026

Locality-Aware Redundancy Pruning for LLM Depth Compression

It is shown that inter-layer redundancy can be either localized or globally distributed depending on the LLM architecture, and Representation Locality Score (RLS) is introduced, derived from global inter-layer hidden-state similarity.

Vincent-Daniel Yun, Youngrae Kim, Woosang Lim et al. · arXiv.org · 1 citation · ⚡1