PreprintarXiv.org2023
Jina Embeddings v1
Andreas Koukounas, Georgios Mastrapas, Michael Günther, et al.
Contrastively fine-tunes T5 encoders on curated data to distinguish negations from confirmations.
57Jul 1, 2023
arXiv
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3 papersPreprint2022
Flan T5, Flan PaLM
Unknown
Explores scaling instruction fine-tuning by increasing tasks, model size, and incorporating chain-of-thought data to improve language model performance.
0Oct 1, 2022Chain Of ThoughtScaling Laws
arXiv
Preprint2020
mT5
Unknown
mT5 is a multilingual variant of T5 pre-trained on a new Common Crawl-based dataset covering 101 languages (mC4).
0Oct 1, 2020