T5 | Synced

by Synced 2022-10-31 0

Google Introduces RankT5: A Fine-Tuned T5 Model That Boosts Text Ranking and Zero-Shot Performance

In the new paper RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses, a Google Research team presents RankT5, which employs pretrained T5 models for text ranking with various ranking losses to directly optimize ranking performance. RankT5 models more natively support text ranking by outputting real numbers rather than text tokens.

by Synced 2020-10-26 3

Machine Learning & Data Science Nature Language Tech

Google ‘mT5’ Pretrained Text-to-Text Transformer Achieves SOTA Performance on Multilingual Benchmarks

Google recently introduced mT5, a multilingual variant of its “Text-to-Text Transfer Transformer” (T5), pretrained on a new Common Crawl-based dataset covering 101 languages.