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cs.CV2026
Test-time Sparsity for Extreme Fast Action Diffusion
Kangye Ji, Yuan Meng, Jianbo Zhou +3
Action diffusion excels at high-fidelity action generation but incurs heavy computational costs owing to its iterative denoising nature. Despite current technologies showing promis…
cs.CR2026
Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
Pengcheng Sun, Lan Zhang, Zhaopeng Zhang +2
Large language models (LLMs) are increasingly deployed in enterprise settings where they handle sensitive documents and user context, raising acute concerns over security and contr…