Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question Answering
研究针对大语言模型在文化相关问题上的长尾不足，通过比较基于知识图谱的增强方法与检索增强生成法，提出使用知识图谱改善答案生成的准确性、可解释性和更新性。
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Representative Papers
On the Limits of Quantum Multiparty Simultaneous Communication
本文研究了多玩家同时通信模型中经典通信与量子通信的界限问题，通过Index Coordination游戏的泛化版本展示了量子通信在无共享纠缠或公共随机性情况下的局限。
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B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures
为提高细粒度解剖结构分割的泛化能力，本文提出B-MIM方法，通过减少全局语义对齐来优先局部补丁重建，从而增强3D Swin Transformer编码器捕捉高频形态细节的能力。
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A Simple Construction of Locally Checkable Problems Filling the LOCAL Complexity Gaps in Graphs with Arbitrary Large Degrees
本文解决了图中局部可检查问题（LCL）复杂度间隙的问题，通过构造无限多的LCL问题，并使用确定性和随机算法分析其在不同网络条件下的轮次复杂度。
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Hate speech toward migrants on a citizen reporting platform concentrates in neighborhoods undergoing demographic change
This study investigates how immigration influences social inclusion or exclusion in urban neighborhoods at fine-grained spatiotemporal scales, with a focus on the spatial patterns of xenophobic discourse. Leveraging over 550,000 geolocated citizen reports from Chile’s SOSAFE platform and employing a fine-tuned Spanish-language hate speech classifier validated through manual annotation, the research uncovers a “digital boundary” phenomenon: hate speech is not concentrated in traditional immigrant enclaves but instead clusters significantly in neighborhoods where newcomers constituted more than one-third of residents after 2010 and experienced rapid demographic shifts. Conversely, areas with higher educational attainment and fewer recent immigrants emerge as coldspots. The study also reveals that reports referencing immigrants or containing hateful content elicit substantially higher user engagement, underscoring the role of online platforms in reflecting societal tensions.
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Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question Answering
研究针对大语言模型在文化相关问题上的长尾不足，通过比较基于知识图谱的增强方法与检索增强生成法，提出使用知识图谱改善答案生成的准确性、可解释性和更新性。
0 citationsRead paper
On the Limits of Quantum Multiparty Simultaneous Communication
本文研究了多玩家同时通信模型中经典通信与量子通信的界限问题，通过Index Coordination游戏的泛化版本展示了量子通信在无共享纠缠或公共随机性情况下的局限。
0 citationsRead paper
B-MIM: Biased Masked Image Modeling for Generalizable Segmentation of Fine-Grained Anatomical Structures
为提高细粒度解剖结构分割的泛化能力，本文提出B-MIM方法，通过减少全局语义对齐来优先局部补丁重建，从而增强3D Swin Transformer编码器捕捉高频形态细节的能力。
0 citationsRead paper
A Simple Construction of Locally Checkable Problems Filling the LOCAL Complexity Gaps in Graphs with Arbitrary Large Degrees
本文解决了图中局部可检查问题（LCL）复杂度间隙的问题，通过构造无限多的LCL问题，并使用确定性和随机算法分析其在不同网络条件下的轮次复杂度。
0 citationsRead paper
Hate speech toward migrants on a citizen reporting platform concentrates in neighborhoods undergoing demographic change
This study investigates how immigration influences social inclusion or exclusion in urban neighborhoods at fine-grained spatiotemporal scales, with a focus on the spatial patterns of xenophobic discourse. Leveraging over 550,000 geolocated citizen reports from Chile’s SOSAFE platform and employing a fine-tuned Spanish-language hate speech classifier validated through manual annotation, the research uncovers a “digital boundary” phenomenon: hate speech is not concentrated in traditional immigrant enclaves but instead clusters significantly in neighborhoods where newcomers constituted more than one-third of residents after 2010 and experienced rapid demographic shifts. Conversely, areas with higher educational attainment and fewer recent immigrants emerge as coldspots. The study also reveals that reports referencing immigrants or containing hateful content elicit substantially higher user engagement, underscoring the role of online platforms in reflecting societal tensions.
0 citationsRead paper