Kavli Affiliate: Huawei Zhang | Summary:We present a catalog of 8,440 candidate very metal-poor (VMP; [Fe/H] < -2.0) main-sequence turn-off (MSTO) and red giant stars in the Milky Way, identified from low-resolution spectra in LAMOST DR10. More than 7,000 of these candidates are brighter than G ~ 16, making them excellent targets for high-resolution spectroscopic […]
Kavli Affiliate: Scott A. Hughes | Summary:Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient waveform models. Intermediate- and extreme-mass-ratio inspirals (I/EMRIs), with mass ratios $q gtrsim 10^2$, are promising sources for future detectors such as the Laser Interferometer Space Antenna (LISA). […]
Kavli Affiliate: Chris Xu | First 5 Authors: Songze Li, Songze Li, , , | Summary: Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse tasks, driving the development and widespread adoption of LLM-as-a-Judge systems for automated evaluation, including red teaming and benchmarking. However, these systems are susceptible to adversarial attacks that can manipulate […]
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: Feng Yuan | First 5 Authors: Yanjun Dai, Haoyang Feng, Yuan Gao, , | Summary: While online advertising is highly dependent on implicit interaction networks of anonymous users for engagement inference, and for the selection and optimization of delivery strategies, existing graph models seldom can capture the multi-scale temporal, semantic and higher-order dependency […]
Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Distributed training is essential for scaling the training of large neural network models, such as large language models (LLMs), across thousands of GPUs. However, the complexity of distributed training programs makes them particularly prone to silent bugs, which do not produce explicit […]
Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Haochen Wang, Panupong Phoompuang, Kiyoshi W. Masui, Arnab Chakraborty, Simon Foreman | Summary: Hybrid Foreground Residual Subtraction (HyFoReS) is a new family of algorithms designed to remove systematics-induced foreground contamination for 21-cm intensity mapping data. Previously, the algorithm was shown to be effective in mitigating beam […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zehong Ma, Zehong Ma, , , | Summary: Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approaches typically require extensive calibration with curated prompts and risk inconsistent outputs due to prompt-specific overfitting. […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zehong Ma, Longhui Wei, Feng Wang, Shiliang Zhang, Qi Tian | Summary: Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approaches typically require extensive calibration with curated prompts and risk inconsistent outputs […]
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 […]