Revisiting the Proper Motions of M31 and M33 Using Massive Supergiant Stars with Gaia DR3

Kavli Affiliate: Huawei Zhang | First 5 Authors: Hao Wu, Hao Wu, , , | Summary: The proper motions (PMs) of M31 and M33 are key to understanding the Local Group’s dynamical evolution. However, measurement discrepancies between Gaia blue and red samples, regarding whether the transverse velocity is remarkable, introduce significant ambiguity. In this work, […]


Continue.. Revisiting the Proper Motions of M31 and M33 Using Massive Supergiant Stars with Gaia DR3

Discovery of a Little Red Dot candidate at $zgtrsim10$ in COSMOS-Web based on MIRI-NIRCam selection

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Takumi S. Tanaka, Takumi S. Tanaka, , , | Summary: JWST has revealed a new high-redshift population called little red dots (LRDs). Since LRDs may be in the early phase of black hole growth, identifying them in the early universe is crucial for understanding the formation of […]


Continue.. Discovery of a Little Red Dot candidate at $zgtrsim10$ in COSMOS-Web based on MIRI-NIRCam selection

DivControl: Knowledge Diversion for Controllable Image Generation

Kavli Affiliate: Jing Wang | First 5 Authors: Yucheng Xie, Yucheng Xie, , , | Summary: Diffusion models have advanced from text-to-image (T2I) to image-to-image (I2I) generation by incorporating structured inputs such as depth maps, enabling fine-grained spatial control. However, existing methods either train separate models for each condition or rely on unified architectures with […]


Continue.. DivControl: Knowledge Diversion for Controllable Image Generation

LLM4Rail: An LLM-Augmented Railway Service Consulting Platform

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Zhuo Li, , , | Summary: Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail – a novel LLM-augmented railway service consulting platform. Empowered by LLM, LLM4Rail can provide custom modules […]


Continue.. LLM4Rail: An LLM-Augmented Railway Service Consulting Platform

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Kavli Affiliate: Zhuo Li | First 5 Authors: Jiajun Cao, Jiajun Cao, , , | Summary: Vision-Language-Action (VLA) models have demonstrated significant potential in complex scene understanding and action reasoning, leading to their increasing adoption in end-to-end autonomous driving systems. However, the long visual tokens of VLA models greatly increase computational costs. Current visual token […]


Continue.. FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Kavli Affiliate: Zhuo Li | First 5 Authors: Jiajun Cao, Jiajun Cao, , , | Summary: Vision-Language-Action (VLA) models have demonstrated significant potential in complex scene understanding and action reasoning, leading to their increasing adoption in end-to-end autonomous driving systems. However, the long visual tokens of VLA models greatly increase computational costs. Current visual token […]


Continue.. FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: Since the advent of autonomous driving technology, it has experienced remarkable progress over the last decade. However, most existing research still struggles to address the challenges posed by environments where multiple vehicles have to interact seamlessly. This study aims […]


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Growth rates for the Hölder coefficients of the linear stochastic fractional heat equation with rough dependence in space

Kavli Affiliate: Ran Wang | First 5 Authors: Chang Liu, Chang Liu, , , | Summary: We study the linear stochastic fractional heat equation $$ fracpartialpartial tu(t,x)=-(-Delta)^fracalpha2u(t,x)+dotW(t,x), quad t>0, quad xinmathbbR, $$ where $-(-Delta)^fracalpha2$ denotes the fractional Laplacian with power $alphain (1,2)$, and the driving noise $dotW$ is a centered Gaussian field that is white […]


Continue.. Growth rates for the Hölder coefficients of the linear stochastic fractional heat equation with rough dependence in space

Energy Extraction From the Kerr-Bertotti-Robinson Black Hole via Magnetic Reconnection under Circular Plasma and Plunging Plasma

Kavli Affiliate: Ke Wang | First 5 Authors: Xiao-Xiong Zeng, Xiao-Xiong Zeng, , , | Summary: Recently, a class of exact solutions describing rotating black holes immersed in a uniform magnetic field has been proposed, and various properties of such black holes remain unclear. This paper aims to explore how to extract energy based on […]


Continue.. Energy Extraction From the Kerr-Bertotti-Robinson Black Hole via Magnetic Reconnection under Circular Plasma and Plunging Plasma

Energy Extraction From the Kerr-Bertotti-Robinson Black Hole via Magnetic Reconnection under Circular Plasma and Plunging Plasma

Kavli Affiliate: Ke Wang | First 5 Authors: Xiao-Xiong Zeng, Xiao-Xiong Zeng, , , | Summary: Recently, a class of exact solutions describing rotating black holes immersed in a uniform magnetic field has been proposed, and various properties of such black holes remain unclear. This paper aims to explore how to extract energy based on […]


Continue.. Energy Extraction From the Kerr-Bertotti-Robinson Black Hole via Magnetic Reconnection under Circular Plasma and Plunging Plasma