Author

Keisuke Sakaguchi

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#large language models Open access Sep 2026

Empirical Analysis of Goal Hijacking in Large Vision-Language Models via Visual Prompt Injection

In this study, we explore visual prompt injection (VPI), a method that exploits the ability of large vision-language models (LVLMs) to follow instructions embedded within input images. LVLMs, such as GPT-4V, are designed to interpret and respond to visual prompts. Although this capability enables valuable applications,...

Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki et al. · New generation computing · 0 citations

#natural language process... Preprint Sep 2026

It's Not RoPE that Creates Sinks: The Role of Self-Concentration and Value-Non-Mixing in Attention

This study analyzes the factors underlying AS and MAs that emerge at the initial position regardless of the token occupying it and suggests that self-concentration of attention, resulting from the causal mask, and the subsequent Value-non-mixing in attention outputs contribute to AS and MAs.

Raito Kiya, Satoki Ohashi, Kosuke Sato et al. · 0 citations