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pro vyhledávání: '"Barham, Samuel"'
While large language models (LLMs) are extremely capable at text generation, their outputs are still distinguishable from human-authored text. We explore this separation across many metrics over text, many sampling techniques, many types of text data
Externí odkaz:
http://arxiv.org/abs/2401.15476
Autor:
Barham, Samuel, Weller, Orion, Yuan, Michelle, Murray, Kenton, Yarmohammadi, Mahsa, Jiang, Zhengping, Vashishtha, Siddharth, Martin, Alexander, Liu, Anqi, White, Aaron Steven, Boyd-Graber, Jordan, Van Durme, Benjamin
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials. We process t
Externí odkaz:
http://arxiv.org/abs/2307.07049
Autor:
Mayfield, James, Yang, Eugene, Lawrie, Dawn, Barham, Samuel, Weller, Orion, Mason, Marc, Nair, Suraj, Miller, Scott
A key stumbling block for neural cross-language information retrieval (CLIR) systems has been the paucity of training data. The appearance of the MS MARCO monolingual training set led to significant advances in the state of the art in neural monoling
Externí odkaz:
http://arxiv.org/abs/2305.00331
Autor:
Barham, Samuel, Feizi, Soheil
Generating high-quality and interpretable adversarial examples in the text domain is a much more daunting task than it is in the image domain. This is due partly to the discrete nature of text, partly to the problem of ensuring that the adversarial e
Externí odkaz:
http://arxiv.org/abs/1905.12864
Autor:
Ross, James (AUTHOR), Barham, Samuel C. (AUTHOR), Enright, Bernard (AUTHOR), Lee Wilson, Lori (AUTHOR), Commisso, Victor (AUTHOR)
Publikováno v:
American History. Aug2017, Vol. 52 Issue 3, p12-12. 2/3p.
Autor:
Barham, Samuel L., Saknussemm, Arne, Jackson, John A., Moore, Barney, Nimmons, Edzetta, Collier, David C., Copestake, Louis, Brown Jr., William A., Clemons, Marguerite, Garrett, Geraldyne, Irwin, Kent, Stallworth, Hattie L., Sharp, Lorraine, Scavella, Helen, Anderson, Andrea M.
Publikováno v:
Ebony. Apr1985, Vol. 40 Issue 6, p16-19. 5p.
Akademický článek
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