Author

Hyeonyu Kim

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Preprint Aug 2026

Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text

Spoken Language Models (SLMs) generate textual responses directly from speech, offering an alternative to cascaded systems. Despite recent advances, existing SLMs still exhibit weaker instruction-following behavior and limited generalization across diverse tasks compared to text-based language models. Our analysis show...

Hyeonyu Kim, Hwayeon Kim, Youngwon Choi et al. · 0 citations

#machine learning Preprint Sep 2026

DeltaS: Reading the Gated Linear Attention State for KV Cache Eviction in Streaming Video

DeltaS is proposed, a query-agnostic, training-free method that retains video chunks inducing larger normalized state change, or state drift, in a controlled comparison with the budget and retention policy held fixed, which suggests that the two memories of hybrid architectures can work cooperatively.

Taeyoun Kwon, Seungjin Kim, Hyeonyu Kim et al. · 0 citations

Preprint Aug 2026

Not All Redundant Tokens Are Alike: Analyzing Visual Token Pruning through Token Roles

The results show that preserving non-alive tokens can sometimes maintain or improve performance, suggesting that tokens with weak direct semantic alignment may still affect model behavior under pruning.

Hyeonyu Kim, Sehwan Lim, Youngwon Choi et al. · 0 citations