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Unigram-Normalized Perplexity as a Language Model Performance Measure with Different Vocabulary Sizes
Although Perplexity is a widely used performance metric for language models, the values are highly dependent upon the number of words in the corpus and is useful to compare performance of the same corpus only.
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models
First, we propose a hierarchical GPT which consists of three blocks, i. e., a sentence encoding block, a sentence generating block, and a sentence decoding block.
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