DocMMIR: A Framework for Document Multi-modal Information Retrieval

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]


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An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yihao Zhang, Sai Li, Albert Lee, Zheng Zhu, Lang Zeng | Summary: Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally intensive combinatorial optimization problems (COPs). While quantum, optical, and electronic devices have garnered significant […]


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A Framework for Spontaneous Brillouin Noise: Unveiling Fundamental Limits in Brillouin Metrology

Kavli Affiliate: Long Zhang | First 5 Authors: Simeng Jin, Shuai Yao, Zhisheng Yang, Zixuan Du, Xiaobin Hong | Summary: Spontaneous Brillouin scattering (SpBS) provides a non-contact tool for probing the mechanical and thermodynamic properties of materials, enabling important applications such as distributed optical fiber sensing and high-resolution Brillouin microscopy. Achieving metrological precision in these […]


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Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun | Summary: To advance biomedical vison-language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical […]


Continue.. Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun | Summary: To advance biomedical vison-language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical […]


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AsynFusion: Towards Asynchronous Latent Consistency Models for Decoupled Whole-Body Audio-Driven Avatars

Kavli Affiliate: Zheng Zhu | First 5 Authors: Tianbao Zhang, Jian Zhao, Yuer Li, Zheng Zhu, Ping Hu | Summary: Whole-body audio-driven avatar pose and expression generation is a critical task for creating lifelike digital humans and enhancing the capabilities of interactive virtual agents, with wide-ranging applications in virtual reality, digital entertainment, and remote communication. […]


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Spin Pumping into two-dimensional systems

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuya Ominato, Masaki Yama, Ai Yamakage, Mamoru Matsuo, Takeo Kato | Summary: In this review, we present recent theoretical developments on spin transport phenomena probed by ferromagnetic resonance (FMR) modulation in two-dimensional systems coupled to magnetic materials. We first address FMR linewidth enhancements induced by spin pumping […]


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DD-Ranking: Rethinking the Evaluation of Dataset Distillation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou | Summary: In recent years, dataset distillation has provided a reliable solution for data compression, where models trained on the resulting smaller synthetic datasets achieve performance comparable to those trained on the original datasets. To further improve […]


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Unifying Strain-driven and Pressure-driven Superconductivity in La$_{3}$Ni$_{2}$O$_{7}$: Suppressed charge/spin density waves and enhanced interlayer coupling

Kavli Affiliate: Bo Gu | First 5 Authors: Xin-Wei Yi, Wei Li, Jing-Yang You, Bo Gu, Gang Su | Summary: Recent strain-stabilized superconductivity at ambient pressure in La$_3$Ni$_2$O$_{7}$ films opens new avenues for nickelates research, in parallel with its pressure-induced counterpart. Using density functional theory calculations, we elucidate the critical factors bridging strain- and pressure-driven […]


Continue.. Unifying Strain-driven and Pressure-driven Superconductivity in La$_{3}$Ni$_{2}$O$_{7}$: Suppressed charge/spin density waves and enhanced interlayer coupling

Unifying Strain-driven and Pressure-driven Superconductivity in La$_{3}$Ni$_{2}$O$_{7}$: Suppressed charge/spin density waves and enhanced interlayer coupling

Kavli Affiliate: Gang Su | First 5 Authors: Xin-Wei Yi, Wei Li, Jing-Yang You, Bo Gu, Gang Su | Summary: Recent strain-stabilized superconductivity at ambient pressure in La$_3$Ni$_2$O$_{7}$ films opens new avenues for nickelates research, in parallel with its pressure-induced counterpart. Using density functional theory calculations, we elucidate the critical factors bridging strain- and pressure-driven […]


Continue.. Unifying Strain-driven and Pressure-driven Superconductivity in La$_{3}$Ni$_{2}$O$_{7}$: Suppressed charge/spin density waves and enhanced interlayer coupling