Kavli Affiliate: Ke Wang | First 5 Authors: Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian | Summary: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instructions, having great limitations […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao | Summary: Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing interest in quantum machine learning (QML), ensuring the correctness and robustness […]
Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]
Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]
Kavli Affiliate: Ke Wang | First 5 Authors: Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono, Wenqian Du, Jaehyun Shim | Summary: Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function is approximated […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Huangzhao Zhang, Zhi Jin, Ge Li, | Summary: Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made efforts to harness the powerful deep learning (DL) techniques to […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: We present the first catalog of very-high energy and ultra-high energy gamma-ray sources detected by the Large High Altitude Air Shower Observatory (LHAASO). The catalog was compiled using 508 days of data collected by […]
Kavli Affiliate: Ke Wang | First 5 Authors: Zi Wang, Jihye Choi, Ke Wang, Somesh Jha, | Summary: Motivated by the success of traditional software testing, numerous diversity measures have been proposed for testing deep neural networks (DNNs). In this study, we propose a shift in perspective, advocating for the consideration of DNN testing as […]
Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Pedro Henrique Nogueira, Alice Zurlo, Sebastián Pérez, Camilo González-Ruilova, Lucas A. Cieza | Summary: Episodic accretion is a low-mass pre-main sequence phenomenon characterized by sudden outbursts of enhanced accretion. These objects are classified into two: protostars with elevated levels of accretion that lasts for decades or […]
Kavli Affiliate: Ran Wang | First 5 Authors: Xiaolong Yang, Su Yao, Luigi C. Gallo, Jun Yang, Luis C. Ho | Summary: Accretion of black holes at near-Eddington or super-Eddington rates is the most powerful episode that drives black hole growth, and it may work in several types of objects. However, the physics of accretion […]