Item analysis

Question statistics

Attempts · 6Questions with data · 5

Question	n	Difficulty p	Discrimination r_pb	Verdict
Under the taxonomy of generative models presented in the lecture, GANs are classified as which type of density model?	6	0.67	0.89	OK
What does a linear walk between two latent vectors in the generator's input space typically demonstrate?	6	0.50	0.65	OK
What is the key modification that InfoGAN makes to the standard GAN framework to learn disentangled representations?	6	0.50	0.41	OK
Why does the KL divergence often fail to provide useful gradients when training high-dimensional image generators, and what distance does the Wasserstein GAN use instead?	6	0.33	0.60	OK
Why is the original GAN generator loss 𝔼[log(1−D(G(z)))] problematic in practice, and what replacement is commonly used?	6	0.50	0.65	OK

Rejection rule (from 5 attempts): a question is flagged when its difficulty p falls outside 0.30–0.85 (share answering correctly) or its point-biserial discrimination drops below 0.15 (correlation with the rest of the attempt score). Retiring and regenerating flagged questions runs offline: uv run python -m app.quality … --regenerate.