Kavli Affiliate: Ronald Remillard | Summary:The Low Energy Modular Array (LEMA) is one of three instruments that compose the STROBE-X mission concept. The LEMA is a large effective-area, high throughput, non-imaging pointed instrument based on the X-ray Timing Instrument of the Neutron star Interior Composition Explorer (NICER) mission. The LEMA is designed for spectral-timing measurements […]
Kavli Affiliate: Ronald A. Remillard | First 5 Authors: Keith C. Gendreau, Dominic Maes, Ronald A. Remillard, Paul S. Ray, Zaven Arzoumanian | Summary: The Low Energy Modular Array (LEMA) is one of three instruments that compose the STROBE-X mission concept. The LEMA is a large effective-area, high throughput, non-imaging pointed instrument based on the […]
Kavli Affiliate: Deepto Chakrabarty | Summary:We give an overview of the science objectives and mission design of the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X) observatory, which has been proposed as a NASA probe-class (~$1.5B) mission in response to the Astro2020 recommendation for an X-ray probe. | Search Query: arXiv Query: search_query=au:”Chakrabarty Deepto”&id_list=&start=0&max_results=10Read More
Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Paul S. Ray, Peter W. A. Roming, Andrea Argan, Zaven Arzoumanian, David R. Ballantyne | Summary: We give an overview of the science objectives and mission design of the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X) observatory, which has been proposed as a NASA probe-class (~$1.5B) […]
Kavli Affiliate: Alexander P. Ji | First 5 Authors: Joshua D. Simon, Ting S. Li, Alexander P. Ji, Andrew B. Pace, Terese T. Hansen | Summary: We present spectroscopy of the ultra-faint Milky Way satellites Eridanus III (Eri III) and DELVE 1. We identify eight member stars in each satellite and place non-constraining upper limits […]
Kavli Affiliate: Ke Wang | First 5 Authors: Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi | Summary: Code has been shown to be effective in enhancing the mathematical reasoning abilities of large language models due to its precision and accuracy. Previous works involving continued mathematical pretraining often include code that utilizes math-related […]
Kavli Affiliate: Max Tegmark | Summary:Motivated by interpretability and reliability, we investigate whether large language models (LLMs) deploy universal geometric structures to encode discrete, graph-structured knowledge. To this end, we present two complementary experimental evidence that might support universality of graph representations. First, on an in-context genealogy Q&A task, we train a cone probe to […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual representations. This modeling paradigm allows us to process images […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual representations. This modeling paradigm allows us to process images […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei | Summary: In this work, we present a comprehensive analysis of causal image modeling and introduce the Adventurer series models where we treat images as sequences of patch tokens and employ uni-directional language models to learn visual […]