Unveiling the small-scale jets in the rapidly growing supermassive black hole IZw1

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 […]


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Few-shot 3D Shape Generation

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Realistic and diverse 3D shape generation is helpful for a wide variety of applications such as virtual reality, gaming, and animation. Modern generative models, such as GANs and diffusion models, learn from large-scale datasets and generate new […]


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Dynamical structure factor and a new method to measure the pairing gap in two-dimensional attractive Fermi-Hubbard model

Kavli Affiliate: Feng Yuan | First 5 Authors: Huaisong Zhao, Peng Zou, Feng Yuan, , | Summary: By calculating the dynamical structure factor along the high symmetry directions in the Brillouin zone, the dynamical excitations of attractive Fermi-Hubbard model in a two-dimensional square optical lattice are studied with random phase approximation. {Two kinds of collective […]


Continue.. Dynamical structure factor and a new method to measure the pairing gap in two-dimensional attractive Fermi-Hubbard model

Dynamical structure factor and a new method to measure the pairing gap in two-dimensional attractive Fermi-Hubbard model

Kavli Affiliate: Feng Yuan | First 5 Authors: Huaisong Zhao, Huaisong Zhao, , , | Summary: The measurement of the pairing gap plays an essential role in studying the physical properties of superconductors or superfluids. We develop a strategy for measure the pairing gap through the dynamical excitations. With the random phase approximation (RPA), the […]


Continue.. Dynamical structure factor and a new method to measure the pairing gap in two-dimensional attractive Fermi-Hubbard model

Measurement of ultra-high-energy diffuse gamma-ray emission of the Galactic plane from 10 TeV to 1 PeV with LHAASO-KM2A

Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai | Summary: The diffuse Galactic $gamma$-ray emission, mainly produced via interactions between cosmic rays and the diffuse interstellar medium, is a very important probe of the distribution, propagation, and interaction of cosmic rays in the Milky […]


Continue.. Measurement of ultra-high-energy diffuse gamma-ray emission of the Galactic plane from 10 TeV to 1 PeV with LHAASO-KM2A

Calculating the Gravitational Waves Emitted from High-speed Sources

Kavli Affiliate: Xian Chen | First 5 Authors: Han Yan, Xian Chen, Alejandro Torres-Orjuela, , | Summary: The possibility of forming gravitational-wave sources with high center-of-mass (c.m.) velocities in the vicinity of supermassive black holes requires us to develop a method of deriving the waveform in the observer’s frame. Here we show that in the […]


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Precise Masses, Ages of ~1.0 million RGB and RC stars observed by the LAMOST

Kavli Affiliate: Huawei Zhang | First 5 Authors: Chun Wang, Yang Huang, Yutao Zhou, Huawei Zhang, | Summary: We construct a catalogue of stellar masses and ages for 696,680 red giant branch (RGB) stars, 180,436 primary red clump (RC) stars, and 120,907 secondary RC stars selected from the LAMOST,DR8. The RGBs, primary RCs, and secondary […]


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Self-Edit: Fault-Aware Code Editor for Code Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Zhuo Li, Jia Allen Li, Ge Li, Zhi Jin | Summary: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, […]


Continue.. Self-Edit: Fault-Aware Code Editor for Code Generation

Self-Edit: Fault-Aware Code Editor for Code Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin | Summary: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, we […]


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ToolCoder: Teach Code Generation Models to use API search tools

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]


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