Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sung-Guk Jo"'
Publikováno v:
IEEE Access, Vol 11, Pp 146065-146075 (2023)
Nowadays, pre-trained sequence-to-sequence models such as PEGASUS and BART have shown state-of-the-art results in abstractive summarization. In these models, during fine-tuning, the encoder transforms sentences to context vectors in the latent space
Externí odkaz:
https://doaj.org/article/860e5b4c2f5b417d94980ec5af82e785
Autor:
Sung-Guk Jo, Byung-Won On
Publikováno v:
The Journal of Korean Institute of Information Technology. 19:19-27
Publikováno v:
Reaction Kinetics & Catalysis Letters. 55:325-332
For V2O5−ZrO2 catalysts, up to 10 mol% the crystalline structure of V2O5 was not observed, indicating a good dispersity the surface of ZrO2. V2O5−ZrO2 catalyst modified with H2SO4 exhibited much on higher catalytic activity for propene partial ox