Kavli Affiliate: Biao Huang | Summary:Understanding human attitudes, preferences, and behaviors through social surveys is essential for academic research and policymaking. Yet traditional surveys face persistent challenges, including fixed-question formats, high costs, limited adaptability, and difficulties ensuring cross-cultural equivalence. While recent studies explore large language models (LLMs) to simulate survey responses, most are limited to […]

Kavli Affiliate: Biao Huang | Summary:Periodically driven quantum many-body systems exhibit a wide variety of exotic nonequilibrium phenomena and provide a promising pathway for quantum applications. A fundamental challenge for stabilizing and harnessing these highly entangled states of matter is system heating by energy absorption from the drive. Here, we propose and demonstrate a disorder-free […]

Kavli Affiliate: Biao Huang | Summary:Periodically driven quantum many-body systems exhibit a wide variety of exotic nonequilibrium phenomena and provide a promising pathway for quantum applications. A fundamental challenge for stabilizing and harnessing these highly entangled states of matter is system heating by energy absorption from the drive. Here, we propose and demonstrate a disorder-free […]

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Long Zhang, , , | Summary: Emerging altermagnets offer a promising avenue for spintronics, yet their integration into magnetic tunnel junctions has been hindered by reliance on ferromagnetic electrodes (introducing stray fields) or limited functionality (non-tunable magnetoresistance without spin filtering). Here, we propose an all-altermagnetic […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Penghao Wang, Penghao Wang, , , | Summary: As large language models (LLMs) advance, the ultimate vision for their role in science is emerging: we could build an AI collaborator to effectively assist human beings throughout the entire scientific research process. We refer to this envisioned system […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Huichan Seo, Huichan Seo, , , | Summary: Generative image models produce striking visuals yet often misrepresent culture. Prior work has examined cultural bias mainly in text-to-image (T2I) systems, leaving image-to-image (I2I) editors underexplored. We bridge this gap with a unified evaluation across six countries, an 8-category/36-subcategory […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Zihao Chen, Zihao Chen, , , | Summary: Unpaired image-to-image translation has emerged as a crucial technique in medical imaging, enabling cross-modality synthesis, domain adaptation, and data augmentation without costly paired datasets. Yet, existing approaches often distort fine curvilinear structures, such as microvasculature, undermining both diagnostic reliability […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: GigaBrain Team, GigaBrain Team, , , | Summary: Training Vision-Language-Action (VLA) models for generalist robots typically requires large-scale real-world robot data, which is expensive and time-consuming to collect. The inefficiency of physical data collection severely limits the scalability, and generalization capacity of current VLA systems. To address […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Jiahan Zhang, Jiahan Zhang, , , | Summary: Generative world models (WMs) can now simulate worlds with striking visual realism, which naturally raises the question of whether they can endow embodied agents with predictive perception for decision making. Progress on this question has been limited by fragmented […]

Kavli Affiliate: Long Zhang | First 5 Authors: Yuanli Wu, Yuanli Wu, , , | Summary: We propose a rubric-guided, pseudo-labeled, and prompt-driven zero-shot video summarization framework that bridges large language models with structured semantic reasoning. A small subset of human annotations is converted into high-confidence pseudo labels and organized into dataset-adaptive rubrics defining clear […]