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Google Introduces RankT5: A Fine-Tuned T5 Model That Boosts Text Ranking and Zero-Shot Performance
Oct. 31, 2022, 11:02 p.m. | Synced
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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.
The post Google Introduces RankT5: A Fine-Tuned T5 Model That Boosts Text Ranking and Zero-Shot Performance first appeared on Synced.
ai artificial intelligence deep-neural-networks google machine learning machine learning & data science ml performance ranking research t5 technology text text ranking
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