EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling

Kavli Affiliate: Zheng Zhu | First 5 Authors: Boyuan Wang, Boyuan Wang, , , | Summary: The rapid advancement of Embodied AI has led to an increasing demand for large-scale, high-quality real-world data. However, collecting such embodied data remains costly and inefficient. As a result, simulation environments have become a crucial surrogate for training robot […]


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Rotating Black Holes in Einstein-Born-Infeld Theory

Kavli Affiliate: Cheng Peng | First 5 Authors: Lang Cheng, Lang Cheng, , , | Summary: We numerically construct a family of stationary, axisymmetric black hole solutions in Einstein-Born-Infeld theory, incorporating both electric charge and rotation. Our results indicate that when nonlinear electromagnetic effects are weak, rotating BI black holes with fixed spin approach the […]


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Spontaneous emergence of altermagnetism in the single-orbital extended Hubbard model

Kavli Affiliate: Gang Su | First 5 Authors: Jin-Wei Dong, Jin-Wei Dong, , , | Summary: Altermagnetism (AM), the recently discovered third class of collinear magnetic order, is characterized by non-relativistic momentum-dependent spin-split electronic structure with compensated zero net magnetization. It can arise from the conventional antiferromagnetism by introducing local anisotropy on the two opposite-spin […]


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Charge Regulation Effect on Nanoparticles Interaction Mediated by Polyelectrolyte

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Vijay Yadav, Vijay Yadav, , , | Summary: The ability to precisely control surface charge using charged polymers is fundamental to many nanotechnology applications, enabling the design and fabrication of materials with tailored properties and functionalities. Here, we study the effect of charge regulation (CR) on the […]


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Topology-ferrimagnetism intertwining via weak interactions in Lieb lattices

Kavli Affiliate: Long Zhang | First 5 Authors: Lei Chen, Lei Chen, , , | Summary: A common wisdom about quantum many-body systems is that emergent phases typically fall into either the Landau-Ginzburg paradigm or topological classifications. Experimentally realizing the intertwined emergence of spontaneous symmetry breaking and topological order remains challenging. Here, we present an […]


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Interplay of Zeeman field, Rashba spin-orbit interaction, and superconductivity: spin susceptibility

Kavli Affiliate: Yi Zhou | First 5 Authors: Chen Pang, Yi Zhou, , , | Summary: We present a self-consistent theory to calculate the static and uniform spin susceptibility in superconductors under simultaneous Zeeman magnetic fields and Rashba-type spin-orbit coupling (SOC). Employing a single-band Bogoliubov-de Gennes Hamiltonian, we solve the gap equation for both conventional […]


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Diagnosing 2D symmetry protected topological states via mixed state anomaly

Kavli Affiliate: Shenghan Jiang | First 5 Authors: Chao Xu, Yunlong Zang, Yixin Ma, Yingfei Gu, Shenghan Jiang | Summary: Symmetry-protected topological (SPT) phases are short-range entangled quantum states characterized by anomalous edge behavior, a manifestation of the bulk-boundary correspondence for topological phases. Moreover, the Li-Haldane conjecture posits that the entanglement spectrum exhibits the same […]


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GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning

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 […]


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Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges

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 […]


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Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation

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 […]


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