Kavli Affiliate: Max Tegmark | First 5 Authors: David D. Baek, Max Tegmark, , , | Summary: In this paper, we investigate how model distillation impacts the development of reasoning features in large language models (LLMs). To explore this, we train a crosscoder on Qwen-series models and their fine-tuned variants. Our results suggest that the […]
Kavli Affiliate: Max Tegmark | First 5 Authors: David D. Baek, Max Tegmark, , , | Summary: In this paper, we investigate how model distillation impacts the development of reasoning features in large language models (LLMs). To explore this, we train a crosscoder on Qwen-series models and their fine-tuned variants. Our results suggest that the […]
Kavli Affiliate: Kejia Lee | First 5 Authors: Longfei Hao, Zhixuan Li, Faxin Shen, Yonghua Xu, Yuxiang Huang | Summary: In this paper, we present the linear decomposition method (LDM), which we developed to detect and analyze pulsar profile variations and mode changing behaviour. We developed LDM utilizing the likelihood function approach assuming the Gaussian […]
Kavli Affiliate: Huawei Zhang | First 5 Authors: Shunxuan He, Yang Huang, XinYi Li, Huawei Zhang, Gaochao Liu | Summary: Utilizing Zwicky Transient Facility (ZTF) data and existing RR Lyrae stars (RRLs) catalogs, this study achieves the first calibration of the $P – phi_{31} – R_{21} – text{[Fe/H]}$ and $P-phi_{31}-A_{2}-A_{1}-text{[Fe/H]}$ relations in the ZTF photometric […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Xiaoqi Jiao, Yiwen Guo, Yuege Feng | Summary: Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Models (LLMs). However, existing studies fall short in assessing the overall […]
Kavli Affiliate: Daniel E. Holz | First 5 Authors: Bryce Cousins, Kristen Schumacher, Adrian Ka-Wai Chung, Colm Talbot, Thomas Callister | Summary: Gravitational waves from individually resolved compact object mergers can be used as standard sirens, offering a novel self-calibrating precision probe of cosmology. While the standard siren method has been well-explored, the gravitational-wave background […]
Kavli Affiliate: Ruobing Dong | First 5 Authors: Jessica Speedie, Ruobing Dong, Richard Teague, Dominique Segura-Cox, Jaime E. Pineda | Summary: Late infall events challenge the traditional view that planet formation occurs without external influence. Here we present deep ALMA $^{12}$CO $J=2-1$ and SO $J_{N}=5_6-4_5$ observations toward AB Aurigae, a Class II disk system with […]
Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Mengyuan Xiao, Pascal A. Oesch, Longji Bing, David Elbaz, Jorryt Matthee | Summary: Little Red Dots (LRDs) are compact, point-like sources characterized by their red color and broad Balmer lines, which have been debated to be either dominated by active galactic nuclei (AGN) or dusty star-forming galaxies […]
Kavli Affiliate: Mihoko M. Nojiri | First 5 Authors: Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri, , | Summary: The state-of-the-art deep learning (DL) models for jet classification use jet constituent information directly, improving performance tremendously. This draws attention to interpretability, namely, the decision-making process, correlations contributing to the classification, and high-level features (HLFs) […]
Kavli Affiliate: Satoshi Shirai | First 5 Authors: Masahiro Ibe, Satoshi Shirai, Keiichi Watanabe, , | Summary: We examine the minimal U(1)$_{L_mu-L_tau}$ gauge model in light of the latest neutrino data, including neutrino oscillations, cosmological observations, direct mass measurements, and neutrinoless double-beta decay. Using the most conservative oscillation data, we find that normal ordering is […]