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Backdoor Removal for Generative Large Language Models
Yet, language models' inherent vulnerabilities may be exacerbated due to increased accessibility and unrestricted model training on massive textual data from the Internet.
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
In practice, we have $ d \ll n$, i. e., $d=3, 072$ and $n=1, 000, 000$ for Gemma.
Pose-Guided High-Resolution Appearance Transfer via Progressive Training
We propose a novel pose-guided appearance transfer network for transferring a given reference appearance to a target pose in unprecedented image resolution (1024 * 1024), given respectively an image of the reference and target person.
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