Zobrazeno 1 - 10
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pro vyhledávání: '"Hudson, G."'
Autor:
Winterbottom, Thomas, Hudson, G. Thomas, Kluvanec, Daniel, Slack, Dean, Sterling, Jamie, Shentu, Junjie, Xiao, Chenghao, Zhou, Zheming, Moubayed, Noura Al
Next-frame prediction is a useful and powerful method for modelling and understanding the dynamics of video data. Inspired by the empirical success of causal language modelling and next-token prediction in language modelling, we explore the extent to
Externí odkaz:
http://arxiv.org/abs/2405.17450
Semantic textual similartiy (STS) and information retrieval tasks (IR) tasks have been the two major avenues to record the progress of embedding models in the past few years. Under the emerging Retrieval-augmented Generation (RAG) paradigm, we envisi
Externí odkaz:
http://arxiv.org/abs/2404.06347
Autor:
Xiao, Chenghao, Huang, Zhuoxu, Chen, Danlu, Hudson, G Thomas, Li, Yizhi, Duan, Haoran, Lin, Chenghua, Fu, Jie, Han, Jungong, Moubayed, Noura Al
Pretrained language models are long known to be subpar in capturing sentence and document-level semantics. Though heavily investigated, transferring perturbation-based methods from unsupervised visual representation learning to NLP remains an unsolve
Externí odkaz:
http://arxiv.org/abs/2402.08183
In recent years, contrastive learning (CL) has been extensively utilized to recover sentence and document-level encoding capability from pre-trained language models. In this work, we question the length generalizability of CL-based models, i.e., thei
Externí odkaz:
http://arxiv.org/abs/2310.16193
Autor:
Hudson, G Thomas, Moubayed, Noura Al
The impressive progress in NLP techniques has been driven by the development of multi-task benchmarks such as GLUE and SuperGLUE. While these benchmarks focus on tasks for one or two input sentences, there has been exciting work in designing efficien
Externí odkaz:
http://arxiv.org/abs/2202.07362
Autor:
Roth, Hudson G.1 (AUTHOR) hudsogroth@gmail.com, Das, Madhurima1 (AUTHOR) madhurima.das.91@gmail.com, Sulima, Agnieszka1 (AUTHOR) agnieszka.sulima@nih.gov, Luo, Dan2 (AUTHOR) dan.luo@uky.edu, Kaska, Sophia2 (AUTHOR) sophia.kaska.phd@gmail.com, Prisinzano, Thomas E.2 (AUTHOR) prisinzano@uky.edu, Kerr, Andrew T.3 (AUTHOR) andrew.kerr@nrl.navy.mil, Jacobson, Arthur E.1 (AUTHOR) arthurj@nida.nih.gov, Rice, Kenner C.1 (AUTHOR) arthurj@nida.nih.gov
Publikováno v:
Molecules. May2024, Vol. 29 Issue 9, p1926. 33p.
Autor:
Santos, Érick A., Amaral, Murilo M., Damasceno, Barbara S., Da Silva, Leonardo M., Zanin, Hudson G., N. Weker, Johanna, Rodella, Cristiane B.
Publikováno v:
In Nano Energy November 2024 130
Publikováno v:
In Journal of Food Engineering November 2023 357
Autor:
Hudson G. Roth, Madhurima Das, Agnieszka Sulima, Dan Luo, Sophia Kaska, Thomas E. Prisinzano, Andrew T. Kerr, Arthur E. Jacobson, Kenner C. Rice
Publikováno v:
Molecules, Vol 29, Iss 9, p 1926 (2024)
The synthesis of stereochemically pure oximes, amines, saturated and unsaturated cyanomethyl compounds, and methylaminomethyl compounds at the C9 position in 3-hydroxy-N-phenethyl-5-phenylmorphans provided μ-opioid receptor (MOR) agonists with varie
Externí odkaz:
https://doaj.org/article/ffafaa3d32ea40d5bd3043c657d40a47
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