Table 1 shows that single-sentence language models are nearly indistinguishable, with HUSE = 0.86 and implied discriminator error of 43%.
both summarization and dialogue are highly distinguishable (HUSE ≈ 0.5) with relatively low quality when sampled from t = 1.0.