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Hyunjong Ok

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Preprint Sep 2026

OmniKVQuant: KV Cache Quantization for Omni-LLMs

As Omni-modal large language models (Omni-LLMs) take in audio, video and text together, their KV cache memory cost grows. KV cache quantization is the de facto approach in text-only LLMs, but its application to Omni-LLMs remains unexplored. In this paper, we analyze how TurboQuant, a representative rotation-based KV ca...

Suho Yoo, Hyunjong Ok, Jongmin Choi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Hierarchical Compression of Vision-Language Model Benchmarks

The analyses show how VLM evaluation behaves as model panels grow and evolve, providing guidance for designing future benchmarks that are more efficient, robust to model turnover, and explicit about the limits of evaluation-side pruning.

Hyunjong Ok, Seung-Gu Kang, Jaeho Lee · 0 citations

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