Resurgent properties of $Toverline{T}$-deformed conformal field theories

Kavli Affiliate: Huajia Wang | First 5 Authors: Jie Gu, Yunfeng Jiang, Huajia Wang, , | Summary: We elaborate on the resurgence analysis on the $Toverline{T}$-deformed 2d conformal field theory (CFT). Writing the deformed partition function as an infinite series in the deformation parameter $lambda$, we develop efficient analytical methods to compute high-order terms of […]


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Effective field theory for triple-Q magnetic orders on a hexagonal lattice

Kavli Affiliate: Yi Zhou | First 5 Authors: Jin-Tao Jin, Yi Zhou, , , | Summary: We develop a comprehensive Ginzburg-Landau theory describing triple-Q magnetic orders on hexagonal lattices, focusing on $O(N)$ models with $N=2$ and $N=3$. Through systematic analysis of symmetry-allowed terms in the free energy, we establish complete phase diagrams governed by competing […]


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ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Xiaofeng Wang, Chaojun Ni, Zheng Zhu, Wenkang Qin | Summary: Combining reconstruction models with generative models has emerged as a promising paradigm for closed-loop simulation in autonomous driving. For example, ReconDreamer has demonstrated remarkable success in rendering large-scale maneuvers. However, a significant gap remains between […]


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A Promising Method for Strongly Correlated Electrons in Two Dimensions: Gutzwiller-Guided Density Matrix Renormalization Group

Kavli Affiliate: Yi Zhou | First 5 Authors: Hui-Ke Jin, Rong-Yang Sun, Hong-Hao Tu, Yi Zhou, | Summary: The study of strongly correlated electron systems remains a fundamental challenge in condensed matter physics, particularly in two-dimensional (2D) systems hosting various exotic phases of matter including quantum spin liquids, unconventional superconductivity, and topological orders. Although Density […]


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Multiferroic Tunnel Junction Based on above-Room-Temperature Altermagnetic CrSb, Ferroelectric In2Se3 and Ferromagnetic Fe3GaTe2

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Guoying Gao, , , | Summary: Altermagnets (AMs) with non-relativistic momentum-dependent spin splitting and compensated net magnetic moments have recently garnered profound fascination. Their idiosyncratic electronic structures facilitate spintronics and electronics, yet room-temperature (RT) AM-based magnetic tunnel junctions (MTJs) with versatile tunneling magnetoresistance (TMR) and […]


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Analysis of Information Loss on Composition Measurement in Stiff Chemically Reacting Systems

Kavli Affiliate: Long Zhang | First 5 Authors: Yiming Lu, Xu Zhu, Long Zhang, Hua Zhou, | Summary: Gas sampling methods have been crucial for the advancement of combustion science, enabling analysis of reaction kinetics and pollutant formation. However, the measured composition can deviate from the true one because of the potential residual reactions in […]


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Speedy MASt3R

Kavli Affiliate: Cheng Peng | First 5 Authors: Jingxing Li, Yongjae Lee, Abhay Kumar Yadav, Cheng Peng, Rama Chellappa | Summary: Image matching is a key component of modern 3D vision algorithms, essential for accurate scene reconstruction and localization. MASt3R redefines image matching as a 3D task by leveraging DUSt3R and introducing a fast reciprocal […]


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SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection

Kavli Affiliate: Yi Zhou | First 5 Authors: Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle | Summary: We present our shared task on text-based emotion detection, covering more than 30 languages from seven distinct language families. These languages are predominantly low-resource and spoken across various continents. The data instances […]


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Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness

Kavli Affiliate: Yi Zhou | First 5 Authors: Sheng Luo, Yi Zhou, Tao Zhou, , | Summary: Incremental learning (IL) aims to overcome catastrophic forgetting of previous tasks while learning new ones. Existing IL methods make strong assumptions that the incoming task type will either only increases new classes or domains (i.e. Class IL, Domain […]


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The second-order intrinsic Wiedemann-Franz law

Kavli Affiliate: Gang Su | First 5 Authors: Ying-Fei Zhang, Zhi-Fan Zhang, Zhen-Gang Zhu, Gang Su, | Summary: In recent years, the nonlinear anomalous thermal Hall effect has attracted substantial attention. In this paper, we carry out a theoretical exploration of the intrinsic anomalous thermal Hall and Nernst effect that is induced by the thermal […]


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