Author

Jihoo Jung

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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

Preprint Sep 2026

Uncovering Ordinal-Matching Bias in Audio-Visual LLMs

This work aims to improve how audio-visual large language models (AVLLMs) associate speech with the correct visible speaker in multi-speaker scenes. We find that current AVLLMs frequently fail at this task, and analyze the nature of these failures. To this end, we construct a synthetic diagnostic dataset in which multi...

Jihoo Jung, Youngjoon Jang, Hyebin Cho et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Tracing Audio Grounding and Answer Selection in Audio LLMs

Audio Large Language Models (Audio LLMs) have advanced in audio understanding, yet they can still predict the answer by reasoning from textual cues or linguistic priors rather than the provided audio. A common remedy is to train models on data whose answers cannot be inferred from text alone. This approach can improve...

Hyebin Cho, Suho Yoo, Jihoo Jung et al. · 0 citations