Rateless Stochastic Coding for Delay-constrained Semantic Communication

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Rulong Wang, Yong Xiao, , | Summary: We consider the problem of joint source-channel coding with distortion and perception constraints from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. We […]


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SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen, | Summary: Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance. In this paper, we present a novel framework, SimTxtSeg, that leverages simple text cues to generate high-quality […]


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Subharmonic oscillations in the Floquet circuit with the frequency-synthesis dimension

Kavli Affiliate: Zheng Zhu | First 5 Authors: Bo Lv, Shiyun Xia, Ye Tian, Ting Liu, Hongyang Mu | Summary: The period-doubling oscillation emerges with the coexistence between zero and {pi} modes in Floquet topological insulator. Here, utilized the flexibility of the circuit, we construct the Floquet circuit with frequency-synthetic dimension and find the topological-protected […]


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

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

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 […]


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

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 […]


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

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 […]


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LRM-Zero: Training Large Reconstruction Models with Synthesized Data

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 […]


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LRM-Zero: Training Large Reconstruction Models with Synthesized Data

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