Kavli Affiliate: Zhuo Li | First 5 Authors: Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie | Summary: Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning Large Language Models (LLMs) with human values. However, RLHF has been continuously challenged by its high complexity in implementation and computation consumption. Even with recent […]
Kavli Affiliate: Renxin Xu | First 5 Authors: Guoqing Zhen, Helei Liu, Akira Dohi, Guoliang Lü, Nobuya Nishimura | Summary: In this study, we calculate for the first time the impacts of neutron star(NS) structure on the type I X-ray burst ashes using the texttt{MESA} code. We find an increased mass fraction of the heavier […]
Kavli Affiliate: Kent Irwin | First 5 Authors: Philippe Peille, Didier Barret, Edoardo Cucchetti, Vincent Albouys, Luigi Piro | Summary: The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable target, while maintaining the flagship nature […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jinouwen Zhang, Junjie Ren, Aobo Yang, Yan Lu, Lu Chen | Summary: Aircraft manufacturing is the jewel in the crown of industry, among which generating high-fidelity airfoil geometries with controllable and editable representations remains a fundamental challenge. While existing deep-learning-based methods rely on predefined parametric function families, […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Xuchen Lin, Jing Wang, Lister Staveley-Smith, Suoqing Ji, Dong Yang | Summary: With a new joint-deconvolution pipeline, we combine the single-dish and interferometric atomic hydrogen (HI) data of M51 observed by the FAST (FEASTS program) and VLA (THINGS). The product data cube has a typical line […]
Kavli Affiliate: George Efstathiou | First 5 Authors: George Efstathiou, Fiona McCarthy, , , | Summary: The power spectrum of unresolved thermal Sunyaev-Zeldovich (tSZ) clusters is extremely sensitive to the amplitude of the matter fluctuations. This paper present an analysis of the tSZ power spectrum using temperature power spectra of the cosmic microwave background (CMB) […]
Kavli Affiliate: Avi Shporer | First 5 Authors: Iddo Drori, Gaston Longhitano, Mao Mao, Seunghwan Hyun, Yuke Zhang | Summary: Reasoning LLMs such as OpenAI o1, o3 and DeepSeek R1 have made significant progress in mathematics and coding, yet find challenging advanced tasks such as International Mathematical Olympiad (IMO) combinatorics problems, Abstraction and Reasoning Corpus […]
Kavli Affiliate: T. Higuchi | First 5 Authors: I. Adachi, L. Aggarwal, H. Ahmed, J. K. Ahn, H. Aihara | Summary: Using data samples of 102 million Upsilon(1S) events and 158 million Upsilon(2S) events collected by the Belle detector at the KEKB asymmetric-energy e+e- collider, we search for [udsccbar] pentaquark states decaying to Jpsi Lambda. […]
Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu, | Summary: Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained […]
Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu, | Summary: Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained […]