However, these methods still suffer from an over-generalization issue and fail to deliver consistently high performance.

With more than 4.5 million patent documents, HUPD is two to three times larger than comparable corpora.

In light of the recent widespread adoption of AI systems, understanding the internal information processing of neural networks has become increasingly critical.

They map random samples (seeds) from a high-dimensional space, conditioned on a user-provided text prompt, to a corresponding image.