Author

Jun-Cheng Wu

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Preprint Sep 2026

Layer-Aware Position Embeddings for Visual Token Pruning in Multimodal Large Language Models

Multimodal large language models (MLLMs) incur substantial computational overhead due to the reliance on hundreds of visual tokens to represent images. While token pruning has emerged as a promising approach to reduce the inference cost of MLLMs, existing methods typically reassign position embeddings to the retained t...

Ya-Hong Wang, Zhang-Kai Ni, Jun-Cheng Wu et al. · 0 citations

Review Jul 2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

A user-centric framework for systematically auditing system prompts in AI systems, AISPA is introduced, a user-centric framework for systematically auditing system prompts in AI systems that examines specific parts of a system prompt and evaluates them along eight dimensions that matter to users.

Xiangning Lin, Shenzhe Zhu, Shu Yang et al. · arXiv.org · 0 citations