Zobrazeno 1 - 10
of 27 912
pro vyhledávání: '"Hatfield, A"'
Autor:
Lamp, Josephine, Derdzinski, Mark, Hannemann, Christopher, Hatfield, Sam, van der Linden, Joost
Many time series, particularly health data streams, can be best understood as a sequence of phenomenon or events, which we call motifs. A time series motif is a short trace segment which may implicitly capture an underlying phenomenon within the time
Externí odkaz:
http://arxiv.org/abs/2409.15219
Autor:
Shahn, Zach, Hatfield, Laura
Consider a very general setting in which data on an outcome of interest is collected in two `groups' at two time periods, with certain group-periods deemed `treated' and others `untreated'. A special case is the canonical Difference-in-Differences (D
Externí odkaz:
http://arxiv.org/abs/2408.16039
Autor:
Watt, R., Kettle, B., Gerstmayr, E., King, B., Alejo, A., Astbury, S., Baird, C., Bohlen, S., Campbell, M., Colgan, C., Dannheim, D., Gregory, C., Harsh, H., Hatfield, P., Hinojosa, J., Hollatz, D., Katzir, Y., Morton, J., Murphy, C. D., Nurnberg, A., Osterhoff, J., Pérez-Callejo, G., Põder, K., Rajeev, P. P., Roedel, C., Roeder, F., Salgado, F. C., Samarin, G. M., Sarri, G., Seidel, A., Spindloe, C., Steinke, S., Streeter, M. J. V., Thomas, A. G. R., Underwood, C., Wu, W., Zepf, M., Rose, S. J., Mangles, S. P. D.
We report on a direct search for elastic photon-photon scattering using x-ray and $\gamma$ photons from a laser-plasma based experiment. A gamma photon beam produced by a laser wakefield accelerator provided a broadband gamma spectrum extending to ab
Externí odkaz:
http://arxiv.org/abs/2407.12915
Autor:
Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian, Norgaard, Peter, Smith, Jamie, Mooers, Griffin, Klöwer, Milan, Lottes, James, Rasp, Stephan, Düben, Peter, Hatfield, Sam, Battaglia, Peter, Sanchez-Gonzalez, Alvaro, Willson, Matthew, Brenner, Michael P., Hoyer, Stephan
General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud for
Externí odkaz:
http://arxiv.org/abs/2311.07222
Autor:
Whittam, I. H., Prescott, M., Hale, C. L., Jarvis, M . J., Heywood, I., An, Fangxia, Glowacki, M., Maddox, N., Marchetti, L., Morabito, L. K., Adams, N. J., Bowler, R. A. A., Hatfield, P. W., Varadaraj, R. G., Collier, J., Frank, B., Taylor, A. R., Santos, M. G., Vaccari, M., Afonso, J., Ao, Y., Delhaize, J., Knowles, K., Kolwa, S., Randriamampandry, S. M., Randriamanakoto, Z., Smirnov, O., Smith, D. J. B., White, S. V.
In this paper we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in
Externí odkaz:
http://arxiv.org/abs/2310.17409
Autor:
Kundu, Sandipan, Bai, Yuntao, Kadavath, Saurav, Askell, Amanda, Callahan, Andrew, Chen, Anna, Goldie, Anna, Balwit, Avital, Mirhoseini, Azalia, McLean, Brayden, Olsson, Catherine, Evraets, Cassie, Tran-Johnson, Eli, Durmus, Esin, Perez, Ethan, Kernion, Jackson, Kerr, Jamie, Ndousse, Kamal, Nguyen, Karina, Elhage, Nelson, Cheng, Newton, Schiefer, Nicholas, DasSarma, Nova, Rausch, Oliver, Larson, Robin, Yang, Shannon, Kravec, Shauna, Telleen-Lawton, Timothy, Liao, Thomas I., Henighan, Tom, Hume, Tristan, Hatfield-Dodds, Zac, Mindermann, Sören, Joseph, Nicholas, McCandlish, Sam, Kaplan, Jared
Human feedback can prevent overtly harmful utterances in conversational models, but may not automatically mitigate subtle problematic behaviors such as a stated desire for self-preservation or power. Constitutional AI offers an alternative, replacing
Externí odkaz:
http://arxiv.org/abs/2310.13798
Autor:
Sharma, Mrinank, Tong, Meg, Korbak, Tomasz, Duvenaud, David, Askell, Amanda, Bowman, Samuel R., Cheng, Newton, Durmus, Esin, Hatfield-Dodds, Zac, Johnston, Scott R., Kravec, Shauna, Maxwell, Timothy, McCandlish, Sam, Ndousse, Kamal, Rausch, Oliver, Schiefer, Nicholas, Yan, Da, Zhang, Miranda, Perez, Ethan
Human feedback is commonly utilized to finetune AI assistants. But human feedback may also encourage model responses that match user beliefs over truthful ones, a behaviour known as sycophancy. We investigate the prevalence of sycophancy in models wh
Externí odkaz:
http://arxiv.org/abs/2310.13548
Autor:
Michael D. Woods, Jess Hatfield, Kendall Hammonds, Alex Pham, Jose Exaire, Timothy Mixon, Vinh Nguyen, Christopher Chiles, Robert J. Widmer
Publikováno v:
Research in Cardiovascular Medicine, Vol 13, Iss 4, Pp 110-117 (2024)
Background: Detection of the regional wall motion abnormalities (RWMA) on the transthoracic echocardiography (TTE) is commonly used to correlate with coronary artery disease (CAD) and often prompts a further workup, including cardiac computed tomogra
Externí odkaz:
https://doaj.org/article/09748037d17745b0a2fc96edb4b3ce3a
Autor:
Radhakrishnan, Ansh, Nguyen, Karina, Chen, Anna, Chen, Carol, Denison, Carson, Hernandez, Danny, Durmus, Esin, Hubinger, Evan, Kernion, Jackson, Lukošiūtė, Kamilė, Cheng, Newton, Joseph, Nicholas, Schiefer, Nicholas, Rausch, Oliver, McCandlish, Sam, Showk, Sheer El, Lanham, Tamera, Maxwell, Tim, Chandrasekaran, Venkatesa, Hatfield-Dodds, Zac, Kaplan, Jared, Brauner, Jan, Bowman, Samuel R., Perez, Ethan
As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to prompt LLMs to externalize their reasoning, e.g., by having them genera
Externí odkaz:
http://arxiv.org/abs/2307.11768
Autor:
Lanham, Tamera, Chen, Anna, Radhakrishnan, Ansh, Steiner, Benoit, Denison, Carson, Hernandez, Danny, Li, Dustin, Durmus, Esin, Hubinger, Evan, Kernion, Jackson, Lukošiūtė, Kamilė, Nguyen, Karina, Cheng, Newton, Joseph, Nicholas, Schiefer, Nicholas, Rausch, Oliver, Larson, Robin, McCandlish, Sam, Kundu, Sandipan, Kadavath, Saurav, Yang, Shannon, Henighan, Thomas, Maxwell, Timothy, Telleen-Lawton, Timothy, Hume, Tristan, Hatfield-Dodds, Zac, Kaplan, Jared, Brauner, Jan, Bowman, Samuel R., Perez, Ethan
Large language models (LLMs) perform better when they produce step-by-step, "Chain-of-Thought" (CoT) reasoning before answering a question, but it is unclear if the stated reasoning is a faithful explanation of the model's actual reasoning (i.e., its
Externí odkaz:
http://arxiv.org/abs/2307.13702