Zobrazeno 1 - 10
of 4 136
pro vyhledávání: '"A, Drain"'
Autor:
Caruso, Xavier, Drain, Fabrice
Given a finite extension $K/F$ of degree $r$ of a finite field $F$, we enumerate all selfdual skew cyclic codes in the Ore quotient ring $K[X;\text{Frob}]/(X^{rk}-1)$ for any positive integer $k$ coprime to the characteristic $p$ (separable case). We
Externí odkaz:
http://arxiv.org/abs/2410.12340
Autor:
Megana Shivakumar, Caitlin A. Moe, Ashley Bardon, Meighan Krows, Sabina Govere, Mahomed Yunus S. Moosa, Connie Celum, Paul K. Drain
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background People living with HIV (PLHIV) may have concurrent Hepatitis B Virus (HBV) infection, and certain antiretroviral therapies are recommended for HBV-HIV co-infected individuals. Routine screening for Hepatitis B virus may influence
Externí odkaz:
https://doaj.org/article/8aa0d5dd102e4e14acbaf216a1aca24a
Autor:
Danielle M. Vickery-Howe, Ben J. Dascombe, Jace R. Drain, Anthea C. Clarke, Brooke Hoolihan, Greg L. Carstairs, Anjana J. Reddy, Kane J. Middleton
Publikováno v:
Biomechanics, Vol 4, Iss 3, Pp 382-410 (2024)
This study aimed to investigate the physiological, perceptual, and biomechanical differences between male and female soldiers across several military-relevant load and walking speed combinations. Eleven female and twelve male soldiers completed twelv
Externí odkaz:
https://doaj.org/article/eab493bb3aed4d649e0bffc22f0056fb
Autor:
Ganguli, Deep, Askell, Amanda, Schiefer, Nicholas, Liao, Thomas I., Lukošiūtė, Kamilė, Chen, Anna, Goldie, Anna, Mirhoseini, Azalia, Olsson, Catherine, Hernandez, Danny, Drain, Dawn, Li, Dustin, Tran-Johnson, Eli, Perez, Ethan, Kernion, Jackson, Kerr, Jamie, Mueller, Jared, Landau, Joshua, Ndousse, Kamal, Nguyen, Karina, Lovitt, Liane, Sellitto, Michael, Elhage, Nelson, Mercado, Noemi, DasSarma, Nova, Rausch, Oliver, Lasenby, Robert, Larson, Robin, Ringer, Sam, Kundu, Sandipan, Kadavath, Saurav, Johnston, Scott, Kravec, Shauna, Showk, Sheer El, Lanham, Tamera, Telleen-Lawton, Timothy, Henighan, Tom, Hume, Tristan, Bai, Yuntao, Hatfield-Dodds, Zac, Mann, Ben, Amodei, Dario, Joseph, Nicholas, McCandlish, Sam, Brown, Tom, Olah, Christopher, Clark, Jack, Bowman, Samuel R., Kaplan, Jared
We test the hypothesis that language models trained with reinforcement learning from human feedback (RLHF) have the capability to "morally self-correct" -- to avoid producing harmful outputs -- if instructed to do so. We find strong evidence in suppo
Externí odkaz:
http://arxiv.org/abs/2302.07459
Autor:
Paul K. Drain, Xin Niu, Adrienne E. Shapiro, Zanele P. Magcaba, Zinhle Ngcobo, M William Ngwane, Katherine K. Thomas, Ronit R. Dalmat, Jennifer F. Morton, Elvira Budiawan, Abraham Pinter, Jason Cantera, Caitlin Anderson, Rose Buchmann, Doug Wilson, Ben Grant
Publikováno v:
EBioMedicine, Vol 108, Iss , Pp 105353- (2024)
Summary: Background: Development of a non-sputum test using readily-obtainable biospecimens remains a global priority for tuberculosis (TB) control. We quantified lipoarabinomannan (LAM) concentrations, a pathogen biomarker for Mycobacterium tubercul
Externí odkaz:
https://doaj.org/article/215bee391d9e4b2994b4c41d141ec419
Autor:
Perez, Ethan, Ringer, Sam, Lukošiūtė, Kamilė, Nguyen, Karina, Chen, Edwin, Heiner, Scott, Pettit, Craig, Olsson, Catherine, Kundu, Sandipan, Kadavath, Saurav, Jones, Andy, Chen, Anna, Mann, Ben, Israel, Brian, Seethor, Bryan, McKinnon, Cameron, Olah, Christopher, Yan, Da, Amodei, Daniela, Amodei, Dario, Drain, Dawn, Li, Dustin, Tran-Johnson, Eli, Khundadze, Guro, Kernion, Jackson, Landis, James, Kerr, Jamie, Mueller, Jared, Hyun, Jeeyoon, Landau, Joshua, Ndousse, Kamal, Goldberg, Landon, Lovitt, Liane, Lucas, Martin, Sellitto, Michael, Zhang, Miranda, Kingsland, Neerav, Elhage, Nelson, Joseph, Nicholas, Mercado, Noemí, DasSarma, Nova, Rausch, Oliver, Larson, Robin, McCandlish, Sam, Johnston, Scott, Kravec, Shauna, Showk, Sheer El, Lanham, Tamera, Telleen-Lawton, Timothy, Brown, Tom, Henighan, Tom, Hume, Tristan, Bai, Yuntao, Hatfield-Dodds, Zac, Clark, Jack, Bowman, Samuel R., Askell, Amanda, Grosse, Roger, Hernandez, Danny, Ganguli, Deep, Hubinger, Evan, Schiefer, Nicholas, Kaplan, Jared
As language models (LMs) scale, they develop many novel behaviors, good and bad, exacerbating the need to evaluate how they behave. Prior work creates evaluations with crowdwork (which is time-consuming and expensive) or existing data sources (which
Externí odkaz:
http://arxiv.org/abs/2212.09251
Autor:
Bai, Yuntao, Kadavath, Saurav, Kundu, Sandipan, Askell, Amanda, Kernion, Jackson, Jones, Andy, Chen, Anna, Goldie, Anna, Mirhoseini, Azalia, McKinnon, Cameron, Chen, Carol, Olsson, Catherine, Olah, Christopher, Hernandez, Danny, Drain, Dawn, Ganguli, Deep, Li, Dustin, Tran-Johnson, Eli, Perez, Ethan, Kerr, Jamie, Mueller, Jared, Ladish, Jeffrey, Landau, Joshua, Ndousse, Kamal, Lukosuite, Kamile, Lovitt, Liane, Sellitto, Michael, Elhage, Nelson, Schiefer, Nicholas, Mercado, Noemi, DasSarma, Nova, Lasenby, Robert, Larson, Robin, Ringer, Sam, Johnston, Scott, Kravec, Shauna, Showk, Sheer El, Fort, Stanislav, Lanham, Tamera, Telleen-Lawton, Timothy, Conerly, Tom, Henighan, Tom, Hume, Tristan, Bowman, Samuel R., Hatfield-Dodds, Zac, Mann, Ben, Amodei, Dario, Joseph, Nicholas, McCandlish, Sam, Brown, Tom, Kaplan, Jared
As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs. The only hum
Externí odkaz:
http://arxiv.org/abs/2212.08073
Autor:
Bowman, Samuel R., Hyun, Jeeyoon, Perez, Ethan, Chen, Edwin, Pettit, Craig, Heiner, Scott, Lukošiūtė, Kamilė, Askell, Amanda, Jones, Andy, Chen, Anna, Goldie, Anna, Mirhoseini, Azalia, McKinnon, Cameron, Olah, Christopher, Amodei, Daniela, Amodei, Dario, Drain, Dawn, Li, Dustin, Tran-Johnson, Eli, Kernion, Jackson, Kerr, Jamie, Mueller, Jared, Ladish, Jeffrey, Landau, Joshua, Ndousse, Kamal, Lovitt, Liane, Elhage, Nelson, Schiefer, Nicholas, Joseph, Nicholas, Mercado, Noemí, DasSarma, Nova, Larson, Robin, McCandlish, Sam, Kundu, Sandipan, Johnston, Scott, Kravec, Shauna, Showk, Sheer El, Fort, Stanislav, Telleen-Lawton, Timothy, Brown, Tom, Henighan, Tom, Hume, Tristan, Bai, Yuntao, Hatfield-Dodds, Zac, Mann, Ben, Kaplan, Jared
Developing safe and useful general-purpose AI systems will require us to make progress on scalable oversight: the problem of supervising systems that potentially outperform us on most skills relevant to the task at hand. Empirical work on this proble
Externí odkaz:
http://arxiv.org/abs/2211.03540
Autor:
Olsson, Catherine, Elhage, Nelson, Nanda, Neel, Joseph, Nicholas, DasSarma, Nova, Henighan, Tom, Mann, Ben, Askell, Amanda, Bai, Yuntao, Chen, Anna, Conerly, Tom, Drain, Dawn, Ganguli, Deep, Hatfield-Dodds, Zac, Hernandez, Danny, Johnston, Scott, Jones, Andy, Kernion, Jackson, Lovitt, Liane, Ndousse, Kamal, Amodei, Dario, Brown, Tom, Clark, Jack, Kaplan, Jared, McCandlish, Sam, Olah, Chris
"Induction heads" are attention heads that implement a simple algorithm to complete token sequences like [A][B] ... [A] -> [B]. In this work, we present preliminary and indirect evidence for a hypothesis that induction heads might constitute the mech
Externí odkaz:
http://arxiv.org/abs/2209.11895
Autor:
Elhage, Nelson, Hume, Tristan, Olsson, Catherine, Schiefer, Nicholas, Henighan, Tom, Kravec, Shauna, Hatfield-Dodds, Zac, Lasenby, Robert, Drain, Dawn, Chen, Carol, Grosse, Roger, McCandlish, Sam, Kaplan, Jared, Amodei, Dario, Wattenberg, Martin, Olah, Christopher
Neural networks often pack many unrelated concepts into a single neuron - a puzzling phenomenon known as 'polysemanticity' which makes interpretability much more challenging. This paper provides a toy model where polysemanticity can be fully understo
Externí odkaz:
http://arxiv.org/abs/2209.10652