Kavli Affiliate: Subo Dong | First 5 Authors: Suwei Wang, Lile Wang, Subo Dong, , | Summary: With the rapidly increasing rate of microlensing planet detections, microlensing modeling software faces significant challenges in computation efficiency. Here, we develop the Twinkle code, an efficient and robust binary-lens modeling software suite optimized for heterogeneous computing devices, especially […]
Kavli Affiliate: Lile Wang | First 5 Authors: Lile Wang, , , , | Summary: The field of astrophysics has long sought computational tools capable of harnessing the power of modern GPUs to simulate the complex dynamics of astrophysical phenomena. The Kratos Framework, a novel GPU-based simulation system designed to leverage heterogeneous computing architectures, is […]
Kavli Affiliate: Lile Wang | First 5 Authors: Lile Wang, , , , | Summary: The field of astrophysics has long sought computational tools capable of harnessing the power of modern GPUs to simulate the complex dynamics of astrophysical phenomena. The Kratos Framework, a novel GPU-based simulation system designed to leverage heterogeneous computing architectures, is […]
Kavli Affiliate: Ke Wang | First 5 Authors: Aobo Kong, Wentao Ma, Shiwan Zhao, Yongbin Li, Yuchuan Wu | Summary: Social agents powered by large language models (LLMs) can simulate human social behaviors but fall short in handling complex goal-oriented social dialogues. Direct Preference Optimization (DPO) has proven effective in aligning LLM behavior with human […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Dong Yang, Xuchen Lin, Qifeng Huang, Zhijie Qu | Summary: We present the HI surface density ($Sigma_{rm HI}$) radial distributions based on total-power HI images obtained by FAST in the FEASTS program, for 35 galaxies with inclinations lower than 72 degree. We derive the HI […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang | Summary: Video Large Language Models (Video LLMs) have recently exhibited remarkable capabilities in general video understanding. However, they mainly focus on holistic comprehension and struggle with capturing fine-grained spatial and temporal details. Besides, the lack […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang | Summary: Video Large Language Models (Video LLMs) have recently exhibited remarkable capabilities in general video understanding. However, they mainly focus on holistic comprehension and struggle with capturing fine-grained spatial and temporal details. Besides, the lack […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang | Summary: Video Large Language Models (Video LLMs) have recently exhibited remarkable capabilities in general video understanding. However, they mainly focus on holistic comprehension and struggle with capturing fine-grained spatial and temporal details. Besides, the lack […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng | Summary: Multimodal Large Language Models (MLLMs) have shown significant progress in offline video understanding. However, applying these models to real-world scenarios, such as autonomous driving and human-computer interaction, presents unique challenges due to the need for […]
Kavli Affiliate: Ke Wang | First 5 Authors: Chen Tan, Jing-Kang Bin, Ke Wang, , | Summary: According to the Schr"odinger-Poisson (SP) equations, fuzzy dark matter (FDM) can form a stable equilibrium configuration, the so-called FDM soliton. The SP system can also determine the evolution of FDM solitons, such as head-on collision. In this paper, […]