Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing

Kavli Affiliate: Jing Wang | First 5 Authors: Yitong Yang, Yinglin Wang, Jing Wang, Tian Zhang, | Summary: Text-driven diffusion models have achieved remarkable success in image editing, but a crucial component in these models-text embeddings-has not been fully explored. The entanglement and opacity of text embeddings present significant challenges to achieving precise image editing. […]


Continue.. Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing

Search for the $Σ(1380)1/2^-$ state in $Λ^+_c to γ π^+ Λ$ decay by triangle singularity

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Yu-Fei Wang, Bo-Chao Liu, Fei Huang, | Summary: In this work, we investigate the resonance production in $Lambda^+_c to gamma pi^+ Lambda$ decay through the triangle singularity (TS) mechanism, within an effective Lagrangian approach. We find that the appropriate loop decay process could develop a […]


Continue.. Search for the $Σ(1380)1/2^-$ state in $Λ^+_c to γ π^+ Λ$ decay by triangle singularity

Search for the $Σ(1380)1/2^-$ state in $Λ^+_c to γ π^+ Λ$ decay by triangle singularity

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Yu-Fei Wang, Bo-Chao Liu, Fei Huang, | Summary: In this work, we investigate the resonance production in $Lambda^+_c to gamma pi^+ Lambda$ decay through the triangle singularity (TS) mechanism, within an effective Lagrangian approach. We find that the appropriate loop decay process could develop a […]


Continue.. Search for the $Σ(1380)1/2^-$ state in $Λ^+_c to γ π^+ Λ$ decay by triangle singularity

From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

Kavli Affiliate: Yingjie Peng | First 5 Authors: Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho | Summary: In $Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to derive […]


Continue.. From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

Kavli Affiliate: Luis C. Ho | First 5 Authors: Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho | Summary: In $Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to […]


Continue.. From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

Kavli Affiliate: Yingjie Peng | First 5 Authors: Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho | Summary: In $Lambda$CDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo-galaxy connection. The abundance matching (AM) technique has been widely used to derive […]


Continue.. From Halos to Galaxies. VI. Improved halo mass estimation for SDSS groups and measurement of the halo mass function

The MAGPI Survey: the evolution and drivers of gas turbulence in intermediate-redshift galaxies

Kavli Affiliate: Yingjie Peng | First 5 Authors: Yifan Mai, Scott M. Croom, Emily Wisnioski, Sam P. Vaughan, Mathew R. Varidel | Summary: We measure the ionised gas velocity dispersions of star-forming galaxies in the MAGPI survey ($zsim0.3$) and compare them with galaxies in the SAMI ($zsim0.05$) and KROSS ($zsim1$) surveys to investigate how the […]


Continue.. The MAGPI Survey: the evolution and drivers of gas turbulence in intermediate-redshift galaxies

RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization

Kavli Affiliate: Ke Wang | First 5 Authors: Jinhu Qi, Shuai Yan, Yibo Zhang, Wentao Zhang, Rong Jin | Summary: With the development of the modern social economy, tourism has become an important way to meet people’s spiritual needs, bringing development opportunities to the tourism industry. However, existing large language models (LLMs) face challenges in […]


Continue.. RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Kavli Affiliate: Ran Wang | First 5 Authors: Cheng Xu, Changtian Zhang, Yuchen Shi, Ran Wang, Shihong Duan | Summary: Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like algorithm instability, low sampling efficiency, and the challenges of exploration and […]


Continue.. Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Kavli Affiliate: Ran Wang | First 5 Authors: Cheng Xu, Changtian Zhang, Yuchen Shi, Ran Wang, Shihong Duan | Summary: Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like algorithm instability, low sampling efficiency, and the challenges of exploration and […]


Continue.. Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration