Probing critical spin fluctuations with a composite magnetoelectric method: A case study on a Kitaev spin liquid candidate Na$_3$Co$_2$SbO$_6$

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Xinrun Mi, Xintong Li, Long Zhang, Aifeng Wang, Yuan Li | Summary: In correlated quantum materials, divergent critical fluctuations near the quantum critical point are often closely associated with exotic quantum phases of matter, such as unconventional superconductivity and quantum spin liquids. Here we present a simple […]


Continue.. Probing critical spin fluctuations with a composite magnetoelectric method: A case study on a Kitaev spin liquid candidate Na$_3$Co$_2$SbO$_6$

Pixel-scale NIR-VIS Spectral Routers Based on 2D Mie-type Metagratings

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yifan Shao, Shuhan Guo, Rui Chen, Yongdi Dang, Yi Zhou | Summary: The out-of-band energy loss caused by in-built color filters significantly degrades the signal-to-noise ratio and the dynamic range of conventional image sensors, which has restricted the attempt to develop ultrahigh-density imaging devices by merely shrinking […]


Continue.. Pixel-scale NIR-VIS Spectral Routers Based on 2D Mie-type Metagratings

Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Danushka Bollegala, Jose Camacho-Collados, , | Summary: Social biases such as gender or racial biases have been reported in language models (LMs), including Masked Language Models (MLMs). Given that MLMs are continuously trained with increasing amounts of additional data collected over time, an important yet […]


Continue.. Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri | Summary: Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LLMs’ cultural sensitivities are limited to a single language or collected from […]


Continue.. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Investigation of Q degradation in low-loss Si3N4 from heterogeneous laser integration

Posted by dbos UCSB

Kavli Affiliate: John E. Bowers | First 5 Authors: Joel Guo, Chao Xiang, Warren Jin, Jonathan Peters, Mingxiao Li | Summary: High-performance, high-volume-manufacturing Si3N4 photonics requires extremely low waveguide losses augmented with heterogeneously integrated lasers for applications beyond traditional markets of high-capacity interconnects. State-of-the-art quality factors (Q) over 200 million at 1550 nm have been […]


Continue.. Investigation of Q degradation in low-loss Si3N4 from heterogeneous laser integration

The polarization hierarchy for polynomial optimization over convex bodies, with applications to nonnegative matrix rank

Posted by dbos UCSB

Kavli Affiliate: David Gross | First 5 Authors: Martin Plávala, Laurens T. Ligthart, David Gross, , | Summary: We construct a convergent family of outer approximations for the problem of optimizing polynomial functions over convex bodies subject to polynomial constraints. This is achieved by generalizing the polarization hierarchy, which has previously been introduced for the […]


Continue.. The polarization hierarchy for polynomial optimization over convex bodies, with applications to nonnegative matrix rank

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu | Summary: We present LRM-Zero, a Large Reconstruction Model (LRM) trained entirely on synthesized 3D data, achieving high-quality sparse-view 3D reconstruction. The core of LRM-Zero is our procedural 3D dataset, Zeroverse, which is automatically synthesized from simple […]


Continue.. LRM-Zero: Training Large Reconstruction Models with Synthesized Data

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu | Summary: We present LRM-Zero, a Large Reconstruction Model (LRM) trained entirely on synthesized 3D data, achieving high-quality sparse-view 3D reconstruction. The core of LRM-Zero is our procedural 3D dataset, Zeroverse, which is automatically synthesized from simple […]


Continue.. LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Integrated Modeling, Verification, and Code Generation for Unmanned Aerial Systems

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Jianyu Zhang, Long Zhang, Yixuan Wu, Linru Ma, Feng Yang | Summary: Unmanned Aerial Systems (UAS) are currently widely used in safety-critical fields such as industrial production, military operations, and disaster relief. Due to the diversity and complexity of application scenarios, UAS have become increasingly intricate. The […]


Continue.. Integrated Modeling, Verification, and Code Generation for Unmanned Aerial Systems