Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiaoyi Bao, Jindi Lv, Xiaofeng Wang, Zheng Zhu, Xinze Chen | Summary: Recent progress in diffusion models has greatly enhanced video generation quality, yet these models still require fine-tuning to improve specific dimensions like instance preservation, motion rationality, composition, and physical plausibility. Existing fine-tuning approaches often rely […]

Kavli Affiliate: Gang Su | First 5 Authors: Jintao Liang, Gang Su, Huifeng Lin, You Wu, Rui Zhao | Summary: Retrieval-Augmented Generation (RAG) has emerged as a powerful framework to overcome the knowledge limitations of Large Language Models (LLMs) by integrating external retrieval with language generation. While early RAG systems based on static pipelines have […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Runqi Ouyang, Haoyun Li, Zhenyuan Zhang, Xiaofeng Wang, Zheng Zhu | Summary: Recent advances in large language models, especially in natural language understanding and reasoning, have opened new possibilities for text-to-motion generation. Although existing approaches have made notable progress in semantic alignment and motion synthesis, they often […]

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: The development of room-temperature tunable magnetic semiconductors is crucial for the advancement of low-power, high-performance information technologies. Using density functional theory calculations, we propose a series of two-dimensional magnetic semiconductors with critical temperature above room temperature, including three […]

Kavli Affiliate: Long Zhang | First 5 Authors: Peipei Lu, Mengju Yuan, Jing Zhang, Qiang Gao, Shuang Liu | Summary: In type-I superconductors, zero electrical resistivity and perfect diamagnetism define two fundamental criteria for superconducting behavior. In contrast, type-II superconductors exhibit more complex mixed-state physics, where magnetic flux penetrates the material above the lower critical […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Chaebin Kim, Sumedh Rathi, Naipeng Zhang, Arnab Seth, Nikolai V. Simonov | Summary: Disorder significantly impacts the electronic properties of conducting quantum materials by inducing electron localization and thus altering the local density of states and electric transport. In insulating quantum magnetic materials the effects of disorder […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Jingxiang Sun, Yushuo Chen, Zhaoqi Su, Zhuo Su | Summary: Photorealistic and animatable human avatars are a key enabler for virtual/augmented reality, telepresence, and digital entertainment. While recent advances in 3D Gaussian Splatting (3DGS) have greatly improved rendering quality and efficiency, existing methods still face […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Shuyao Xu, Cheng Peng, Jiangxuan Long, Weidi Xu, Wei Chu | Summary: Recent advances in model distillation demonstrate that data from advanced reasoning models (e.g., DeepSeek-R1, OpenAI’s o1) can effectively transfer complex reasoning abilities to smaller, efficient student models. However, standard practices employ rejection sampling, discarding incorrect […]

Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]

Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]