Web: https://syncedreview.com/2022/09/20/google-brains-vec2text-models-for-sentence-generation-excel-in-universality-diversity-fluency-semantic-structure/

Sept. 20, 2022, 8:13 p.m. | Synced

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In the new paper Vec2text With Round-Trip Translations, Google Brain researchers explore large language models’ capabilities for generating arbitrary natural language text from inputs of fixed-size vectors — a vec2text setting — and propose a simple data augmentation approach based on round-trip translations to improve vec2text model performance.

The post Google Brain’s Vec2Text Models for Sentence Generation Excel in Universality, Diversity, Fluency & Semantic Structure first appeared on Synced.

ai artificial intelligence brain deep-neural-networks diversity excel google google brain language model machine learning machine learning & data science ml nature language tech research semantic technology text generation

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