Генерация сапасы
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ID: generationquality
Related Papers
Director: Generator-Classifiers For Supervised Language Modeling
AbstractCurrent language models achieve low perplexity but their resulting generations still suffer from toxic responses, repetitiveness, and contradictions. The standard language modeling setup fails to address these issues. In this …...
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation
AbstractCurrent language generation models suffer from issues such as repetition, incoherence, and hallucinations. An often-repeated hypothesis for this brittleness of generation models is that it is caused by the training …...