Results 11 to 20 of about 2,708,641 (362)

SLiC-HF: Sequence Likelihood Calibration with Human Feedback [PDF]

open access: yesarXiv.org, 2023
Learning from human feedback has been shown to be effective at aligning language models with human preferences. Past work has often relied on Reinforcement Learning from Human Feedback (RLHF), which optimizes the language model using reward scores ...
Yao Zhao   +5 more
semanticscholar   +1 more source

To calibrate or not to calibrate, that is the question

open access: yesWater Research, 2023
Sensors used for control have become widespread in water resources recovery facilities during the strive for resource efficient operations. However, their accuracy is reliant on uncertain laboratory measurements, which are used for calibration and, in turn, to correct for sensor drift.
Oscar Samuelsson   +3 more
openaire   +3 more sources

The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)

open access: yesRadiocarbon: An International Journal of Cosmogenic Isotope Research, 2020
Radiocarbon (14C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age equivalents using a calibration curve compensating for fluctuations in atmospheric 14C ...
P. Reimer   +41 more
semanticscholar   +1 more source

Calibration Commentary [PDF]

open access: yesRadiocarbon, 2009
Radiocarbon is by far and away the most widely used dating tool in the Late Quaternary. Hundreds of key papers rely on the method to provide absolute and relative chronological information on important topics, including the late evolution of our own species (e.g. Higham et al.
Blockley, S. P. E., Housley, R. A.
openaire   +10 more sources

Calibration of the Gerda experiment [PDF]

open access: yesThe European Physical Journal C, 2021
AbstractThe GERmanium Detector Array (Gerda) collaboration searched for neutrinoless double-$$\beta $$ β decay in $$^{76}$$ 76 Ge with an array of about 40 high-purity isotopically-enriched germanium detectors.
C. Gooch   +122 more
openaire   +11 more sources

Membranes on calibrations [PDF]

open access: yesJournal of High Energy Physics, 2008
9 pages, no figures; references added, minor ...
Chethan Krishnan   +1 more
openaire   +5 more sources

In-flight performance and calibration of the Infrared Array Camera (IRAC) for the Spitzer Space Telescope [PDF]

open access: yesSPIE Astronomical Telescopes + Instrumentation, 2004
The Infrared Array Camera (IRAC) is one of three focal plane instruments on board the Spitzer Space Telescope. IRAC is a four-channel camera that obtains simultaneous broad-band images at 3.6, 4.5, 5.8, and 8.0 μm in two nearly adjacent fields of view ...
G. Fazio   +64 more
semanticscholar   +1 more source

Hemodynamic monitoring: To calibrate or not to calibrate? Part 1 – Calibrated techniques [PDF]

open access: yesAnestezjologia Intensywna Terapia, 2015
Over recent decades, hemodynamic monitoring has evolved from basic cardiac output monitoring techniques to a broad variety of sophisticated monitoring devices with extra parameters. In order to reduce morbidity and mortality and optimize therapeutic strategies, different monitoring techniques can be used to guide fluid resuscitation and other medical ...
Peeters, Y.   +5 more
openaire   +4 more sources

Marine20—The Marine Radiocarbon Age Calibration Curve (0–55,000 cal BP)

open access: yesRadiocarbon: An International Journal of Cosmogenic Isotope Research, 2020
The concentration of radiocarbon (14C) differs between ocean and atmosphere. Radiocarbon determinations from samples which obtained their 14C in the marine environment therefore need a marine-specific calibration curve and cannot be calibrated directly ...
T. Heaton   +15 more
semanticscholar   +1 more source

Improving Calibration for Long-Tailed Recognition [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and classifier learning to improve performance. But there is still the vital issue of miscalibration.
Zhisheng Zhong   +3 more
semanticscholar   +1 more source

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