2024 – Page 82 – Kavli Institute Pre-Print Publications

GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data

Posted by dbos October 3, 2024Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jifan Zhang, Ziyue Luo, Jia Liu, Ness Shroff, Robert Nowak | Summary: Large language models require vast amounts of high-quality training data, but effective filtering of web-scale datasets remains a significant challenge. This paper demonstrates that GPT-4o is remarkably effective at identifying high-quality training data, but its […]

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AGN STORM 2: X. The origin of the interband continuum delays in Mrk 817

Posted by dbos October 3, 2024MIT

Kavli Affiliate: Erin Kara | First 5 Authors: Hagai Netzer, Michael R. Goad, Aaron J. Barth, Edward M. Cackett, Keith Horne | Summary: The local (z=0.0315) AGN Mrk 817, was monitored over more than 500 days with space-borne and ground-based instruments as part of a large international campaign AGN STORM 2. Here, we present a […]

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Precision Knowledge Editing: Enhancing Safety in Large Language Models

Posted by dbos October 2, 2024Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Xuying Li, Zhuo Li, Yuji Kosuga, Yasuhiro Yoshida, Victor Bian | Summary: Large language models (LLMs) have demonstrated remarkable capabilities, but they also pose risks related to the generation of toxic or harmful content. This work introduces Precision Knowledge Editing (PKE), an advanced technique that builds upon […]

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Robust Detection of Brain Stimulation Artifacts in iEEG Using Autoencoder-Generated Signals and ResNet Classification

Posted by dbos October 2, 2024October 14, 2024UCSF

Kavli Affiliate: Edward Chang | Authors: Jeremy Saal, Ankit N. Khambhati, Edward F. Chang and Prasad Shirvalkar | Summary: Background Intracranial EEG (iEEG) is crucial for understanding brain function, but stimulation-induced noise complicates data interpretation. Traditional artifact detection methods require manual user input or struggle with noise variability, especially with limited labeled data. Objective We […]

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GPI 2.0: Exploring The Impact of Different Readout Modes on the Wavefront Sensor’s EMCCD

Posted by dbos October 2, 2024October 14, 2024Stanford

Kavli Affiliate: Bruce Macintosh | First 5 Authors: Clarissa R. Do Ó, Saavidra Perera, Jérôme Maire, Jayke S. Nguyen, Vincent Chambouleyron | Summary: The Gemini Planet Imager (GPI) is a high contrast imaging instrument that aims to detect and characterize extrasolar planets. GPI is being upgraded to GPI 2.0, with several subsystems receiving a re-design […]

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Direct Imaging of Transition-Edge Sensors with Scanning SQUID Microscopy

Posted by dbos October 2, 2024October 14, 2024Cornell

Kavli Affiliate: Katja C. Nowack | First 5 Authors: Samantha Walker, Austin Kaczmarek, Jason Austermann, Douglas Bennett, Shannon M. Duff | Summary: Significant advancements have been made in understanding the physics of transition-edge sensors (TESs) over the past decade. However, key questions remain, particularly a detailed understanding of the current-dependent resistance of these detectors when […]

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Nonlinearity of transparent SNS weak links decreases sharply with length

Posted by dbos October 2, 2024Delft

Kavli Affiliate: Anton R. Akhmerov | First 5 Authors: Valla Fatemi, Pavel D. Kurilovich, Anton R. Akhmerov, Bernard van Heck, | Summary: Superconductor-normal material-superconductor (SNS) junctions are being integrated into microwave circuits for fundamental and applied research goals. The short junction limit is a common simplifying assumption for experiments with SNS junctions, but this limit […]

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