Tootfinder

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study
Bing Song, Jianing Liu, Sisi Jian, Chenyang Wu, Vinayak Dixit
https://arxiv.org/abs/2506.23107

Can Large Language Models Capture Human Risk Preferences? A Cross-Cultural Study
Large language models (LLMs) have made significant strides, extending their applications to dialogue systems, automated content creation, and domain-specific advisory tasks. However, as their use grows, concerns have emerged regarding their reliability in simulating complex decision-making behavior, such as risky decision-making, where a single choice can lead to multiple outcomes. This study investigates the ability of LLMs to simulate risky decision-making scenarios. We compare model-generate…

Gain on ground state of quantum system for truly $\mathcal{PT}$ symmetry
Bing-Bing Liu, Shi-Lei Su
https://arxiv.org/abs/2507.22728 https://arxiv.org/pdf/2…

Gain on ground state of quantum system for truly $\mathcal{PT}$ symmetry
For a truly $\mathcal{PT}$-symmetric quantum system, the conventional non-Hermitian Hamiltonian is $H = H_{\rm drive} -iγ|1\rangle\langle1| + iγ|0\rangle\langle0|$, where $Ω$ and $γ$ are real parameters. The three terms respectively represent coherent coupling, loss (on state $|1\rangle$), and gain (on state $|0\rangle$). However, realizing the gain term $+iγ|0\rangle\langle0|$ has remained an outstanding challenge for quantum system, especially on g…

Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler
Liding Zhang, Kuanqi Cai, Yu Zhang, Zhenshan Bing, Chaoqun Wang, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.21549

Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler
Path planning in robotics often involves solving continuously valued, high-dimensional problems. Popular informed approaches include graph-based searches, such as A*, and sampling-based methods, such as Informed RRT*, which utilize informed set and anytime strategies to expedite path optimization incrementally. Informed sampling-based planners define informed sets as subsets of the problem domain based on the current best solution cost. However, when no solution is found, these planners re-samp…

The effect of the gravitational constant variation on the phase of gravitational waves
Jiachen An, Bing Sun, Zhoujian Cao
https://arxiv.org/abs/2508.21746 https://

The effect of the gravitational constant variation on the phase of gravitational waves
We have previously investigated the effect of the gravitational constant variation on the gravitational wave propagation. Pure theoretical analysis indicates that the leading order effect of the gravitational constant variation corrects the amplitude of gravitational waves, and the second order effect corrects the phase of gravitational waves. As the matched filtering technique is used by gravitational wave data analysis, the phase is more important than the amplitude. In the current paper we u…

Replaced article(s) found for math-ph. https://arxiv.org/list/math-ph/new
[1/1]:
- Spectral triples and Connes distances of qubits
Bing-Sheng Lin, Zi-Hao Xu, Ji-Hong Wang, Han-Liang Chen

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
Satarupa Bhattacharjee, Bing Li, Xiao Wu, Lingzhou Xue
https://arxiv.org/abs/2506.22754

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
Causal inference is central to statistics and scientific discovery, enabling researchers to identify cause-and-effect relationships beyond associations. While traditionally studied within Euclidean spaces, contemporary applications increasingly involve complex, non-Euclidean data structures that reside in abstract metric spaces, known as random objects, such as images, shapes, networks, and distributions. This paper introduces a novel framework for causal inference with continuous treatments ap…

Probing $a_0(1450)$-meson leading-twist distribution amplitude and its effects to $D\to a_0(1450)\ell \nu_{\ell}$
Ya-Lin Song, Yin-Long Yang, Ye Cao, Xue Zheng, Hai-Bing Fu
https://arxiv.org/abs/2508.21750

Probing $a_0(1450)$-meson leading-twist distribution amplitude and its effects to $D\to a_0(1450)\ell ν_{\ell}$
In this paper, we investigate the semileptonic decay $D \to a_0(1450)\ell ν_{\ell}$ with $\ell=(e, μ)$ using QCD light-cone sum rules. For the scalar meson $a_0(1450)$, we treat it as a $q\bar{q}$ state and construct two distributed distribution schemes based on the light-cone harmonic oscillator model, then present their moments $\langleξ^{n}_{2;a_0}\rangle |_μ$ and Gegenbauer moments $a_{n;a_0}(μ)$ at $μ_0=1~\mathrm{GeV}$ and $μ_k= 1.4~\mathrm{GeV}$ for $n=(1,3,5)$. In the large r…

Meta-heuristic Hypergraph-Assisted Robustness Optimization for Higher-order Complex Systems
Xilong Qu, Wenbin Pei, Haifang Li, Qiang Zhang, Bing Xue, Mengjie Zhang, del Genio Charo, Stefano Boccaletti
https://arxiv.org/abs/2505.24123

Meta-heuristic Hypergraph-Assisted Robustness Optimization for Higher-order Complex Systems
In complex systems (e.g., communication, transportation, and biological networks), high robustness ensures sustained functionality and stability even when resisting attacks. However, the inherent structure complexity and the unpredictability of attacks make robustness optimization challenging. Hypergraphs provide a framework for modeling complicated higher-order interactions in complex systems naturally, but their potential has not been systematically investigated. Therefore, we propose an effe…

Microsoft spendiert Bing einen KI-Video-Ersteller
Microsoft hat Bing nun auch einen KI-Video-Ersteller verpasst. Der lässt sich kostenlos nutzen und erstellt 5-Sekunden-Schnipsel mit Sora.
https://www.

Controlling the quantum phase transition in a double quantum dot Josephson junction via interactions
Cong Li, Yiyan Wang, Bing Dong
https://arxiv.org/abs/2506.23636

Controlling the quantum phase transition in a double quantum dot Josephson junction via interactions
In this work, we employ a surrogate BCS model with discrete energy levels to investigate a hybrid system comprising two quantum dots (QD1 and QD2), where QD1 is tunnel-coupled to two superconducting leads. Through exact diagonalization of this system, we obtain numerically exact solutions that enable rigorous computation of key physical quantities. Our analysis reveals a rich phase diagram featuring multiple controllable phase transitions mediated by quantum dot interactions. Specifically, the …

The 2p order Heisenberg-Pauli-Weyl uncertainty principles related to the offset linear canonical transform
Jia-Yin Peng, Bing-Zhao Li
https://arxiv.org/abs/2507.00010

The 2p order Heisenberg-Pauli-Weyl uncertainty principles related to the offset linear canonical transform
The uncertainty principle is one of the fundamental tools for time-frequency analysis in harmonic analysis, revealing the intrinsic trade-off between time and frequency resolutions. With the continuous development of various advanced time-frequency analysis methods based on the Fourier transform, investigating uncertainty principles associated with these methods has become one of the most interesting topics. This paper studies the uncertainty principles related to the offset linear canonical tr…

Whisker-based Active Tactile Perception for Contour Reconstruction
Yixuan Dang, Qinyang Xu, Yu Zhang, Xiangtong Yao, Liding Zhang, Zhenshan Bing, Florian Roehrbein, Alois Knoll
https://arxiv.org/abs/2507.23305

Whisker-based Active Tactile Perception for Contour Reconstruction
Perception using whisker-inspired tactile sensors currently faces a major challenge: the lack of active control in robots based on direct contact information from the whisker. To accurately reconstruct object contours, it is crucial for the whisker sensor to continuously follow and maintain an appropriate relative touch pose on the surface. This is especially important for localization based on tip contact, which has a low tolerance for sharp surfaces and must avoid slipping into tangential con…

Optimizing Mixed Quantum Channels via Projected Gradient Dynamics
Matthew M. Lin, Bing-Ze Lu
https://arxiv.org/abs/2506.21830 https://

Optimizing Mixed Quantum Channels via Projected Gradient Dynamics
Designing a mixed quantum channel is challenging due to the complexity of the transformations and the probabilistic mixtures of more straightforward channels involved. Fully characterizing a quantum channel generally requires preparing a complete set of input states, such as a basis for the state space, and measuring the corresponding output states. In this work, we begin by investigating a single input-output pair using projected gradient dynamics. This approach applies optimization flows cons…

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00236

Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
Simulation-based design, optimization, and validation of autonomous driving algorithms have proven to be crucial for their iterative improvement over the years. Nevertheless, the ultimate measure of effectiveness is their successful transition from simulation to reality (sim2real). However, existing sim2real transfer methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) conditioned domain adaptation, (ii) robust performance with limited examples, (iii)…

High Entropy Engineering of Magnetic Kagome Lattice (Gd,Tb,Dy,Ho,Er)Mn6Sn6
Wenhao Liu, Nikhil Uday Dhale, Youzhe Chen, Pramanand Joshi, Zixin Zhai, Xiqu Wang, Ping Liu, Robert J. Birgeneau, Boris Maiorov, Christopher A. Mizzi, Bing Lv
https://arxiv.org/abs/2507.22809

High Entropy Engineering of Magnetic Kagome Lattice (Gd,Tb,Dy,Ho,Er)Mn6Sn6
The magnetic kagome lattice compound RMn6Sn6 (R=rare earth) is an emerging platform to exploit the interplay between magnetism and topological electronic states where a variety of exciting findings such as flat bands, Dirac points as well as the dramatic dependence of magnetic order on the rare-earth element have been reported. High entropy through rare earth alloying, on the other hand, provides another knob to control over the physical properties in this system. Here, by the marriage of high …

#SteadyCommunityContent #KINews #Retröt
KI-gestützte #Suchmaschinen verspr…

Wie sicher sind KI-Suchmaschinen bei Gesundheitsfragen?
Wie sicher sind KI-Suchmaschinen im Gesundheitsbereich? Erfahre, welche Risiken Chatbots wie Bing Copilot bei medizinischen Fragen bergen können.

Today I saw 3 human bing

The NIKA2 cosmological legacy survey at 2 mm: catalogs, colors, redshift distributions, and implications for deep surveys
M. B\'ethermin, G. Lagache, C. Carvajal-Bohorquez, R. Adam, P. Ade, H. Ajeddig, S. Amarantidis, P. Andr\'e, H. Aussel, A. Beelen, A. Beno\^it, S. Berta, L. J. Bing, A. Bongiovanni, J. Bounmy, O. Bourrion, M. Calvo, A. Catalano, D. Ch\'erouvrier, M. De Petris, F. -X. D\'esert, S. Doyle, E. F. C. Driessen, G. Ejlali, A. Ferragamo, A. Gomez, J. Goupy, C…

The NIKA2 cosmological legacy survey at 2 mm: catalogs, colors, redshift distributions, and implications for deep surveys
Millimeter galaxy surveys are particularly effective in detecting dusty star-forming galaxies at high redshift. While such observations are typically conducted at ~1mm, studies suggest that 2mm may be better suited for selecting sources at even higher redshifts. We use the unprecedented 2mm data from the N2CLS, together with the SIDES simulation, to study and interpret the statistical properties of 2mm-selected galaxies. We use the N2CLS robust sample at 2mm, which contains 25 sources in the de…

Phonon-scattering-induced quantum linear magnetoresistance up to room temperature
Nannan Tang, Shuai Li, Yanzhao Liu, Jiayi Yang, Huakun Zuo, Gangjian Jin, Yi Ji, Bing Shen, Dingyong Zhong, Donghui Guo, Qizhong Zhu, Zhongbo Yan, Haizhou Lu, Jian Wang, Huichao Wang
https://arxiv.org/abs/2508.21089

Phonon-scattering-induced quantum linear magnetoresistance up to room temperature
The realization of quantum transport effects at elevated temperatures has long intrigued researchers due to the implications for unveiling novel physics and developing quantum devices. In this work, we report remarkable quantum linear magnetoresistance (LMR) in the Weyl semiconductor tellurium at high temperatures of 40-300 K under strong magnetic fields up to 60 T. At high fields, the Weyl band features a large energy gap between the lowest and first Landau levels, which suppresses thermal exc…

Self-consistent clustering analysis for homogenisation of heterogeneous plates
Menglei Li, Haolin Li, Bing Wang, Bing Wang
https://arxiv.org/abs/2508.20446 https://

Self-consistent clustering analysis for homogenisation of heterogeneous plates
This work introduces a reduced-order model for plate structures with periodic micro-structures by coupling self-consistent clustering analysis (SCA) with the Lippmann-Schwinger equation, enabling rapid multiscale homogenisation of heterogeneous plates. A plate-specific SCA scheme is derived for the first time and features two key elements: (i) an offline-online strategy that combines Green's functions with k-means data compression, and (ii) an online self-consistent update that exploits the wea…

In DMARC reporting, if you configure a mail address that does not match the policy domain, you have to "allow" receiving dmarc reporting mails by configuring a record [policyhost]._report._dmarc.[mailhost].
Plenty of people seem to be unaware of that. If you happen to run email servers at Facebook, Amazon(Cloudfront), Fastly, or Microsoft (Bing), and wonder why you don't receive DMARC reports: This is why.

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Tanmay Vilas Samak, Chinmay Vilas Samak, Bing Li, Venkat Krovi
https://arxiv.org/abs/2507.00319

When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving
Simulation frameworks have been key enablers for the development and validation of autonomous driving systems. However, existing methods struggle to comprehensively address the autonomy-oriented requirements of balancing: (i) dynamical fidelity, (ii) photorealistic rendering, (iii) context-relevant scenario orchestration, and (iv) real-time performance. To address these limitations, we present a unified framework for creating and curating high-fidelity digital twins to accelerate advancements i…

Microsoft announces new Windows changes in response to the DMA for EEA users, including Edge not prompting users to set it as the default unless it is opened (Richard Lawler/The Verge)
https://www.theverge.com/news/678350/microsoft-dma-windows-10-11-bing…

Microsoft will finally stop bugging Windows users about Edge — but only in Europe
Microsoft’s changes to Windows 10 and 11 in countries covered by the EU’s Digital Markets Act will make Bing less annoying and let you ditch the Microsoft Store

Diffusion-based Symbolic Music Generation with Structured State Space Models
Shenghua Yuan, Xing Tang, Jiatao Chen, Tianming Xie, Jing Wang, Bing Shi
https://arxiv.org/abs/2507.20128

Diffusion-based Symbolic Music Generation with Structured State Space Models
Recent advancements in diffusion models have significantly improved symbolic music generation. However, most approaches rely on transformer-based architectures with self-attention mechanisms, which are constrained by quadratic computational complexity, limiting scalability for long sequences. To address this, we propose Symbolic Music Diffusion with Mamba (SMDIM), a novel diffusion-based architecture integrating Structured State Space Models (SSMs) for efficient global context modeling and the …

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
Manyi Li, Renshuai Tao, Yufan Liu, Chuangchuang Tan, Haotong Qin, Bing Li, Yunchao Wei, Yao Zhao
https://arxiv.org/abs/2506.20548

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
With the rapid advancement of deep learning, particularly through generative adversarial networks (GANs) and diffusion models (DMs), AI-generated images, or ``deepfakes", have become nearly indistinguishable from real ones. These images are widely shared across Online Social Networks (OSNs), raising concerns about their misuse. Existing deepfake detection methods overlook the ``block effects" introduced by compression in OSNs, which obscure deepfake artifacts, and primarily focus on raw images,…

If you’re wondering how to get a toddler to brush their teeth, I can recommend teaching them the words to “Witchdoctor”, by Cartoonies.
ooooh-eeee (brush fronts of teeth)
ooh-aah-aah (brush backs)
ting-tang (brush tops and bottoms of molars)
walla-walla-bing-bang (brush tongue)
And repeat.
Under no circumstances should you let them hear the actual song, which is awful.

Large Language Models (LLMs) for Electronic Design Automation (EDA)
Kangwei Xu, Denis Schwachhofer, Jason Blocklove, Ilia Polian, Peter Domanski, Dirk Pfl\"uger, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu, Johann Knechtel, Zhuorui Zhao, Ulf Schlichtmann, Bing Li
https://arxiv.org/abs/2508.20030…

Large Language Models (LLMs) for Electronic Design Automation (EDA)
With the growing complexity of modern integrated circuits, hardware engineers are required to devote more effort to the full design-to-manufacturing workflow. This workflow involves numerous iterations, making it both labor-intensive and error-prone. Therefore, there is an urgent demand for more efficient Electronic Design Automation (EDA) solutions to accelerate hardware development. Recently, large language models (LLMs) have shown remarkable advancements in contextual comprehension, logical …

Caregiver-in-the-Loop AI: A Simulation-Based Feasibility Study for Dementia Task Verification
Joy Lai, David Black, Kelly Beaton, Bing Ye, Alex Mihailidis
https://arxiv.org/abs/2508.18267

Caregiver-in-the-Loop AI: A Simulation-Based Feasibility Study for Dementia Task Verification
Caregivers of people living with dementia (PLwD) experience stress when verifying whether tasks are truly completed, even with digital reminder systems. Generative AI, such as GPT-4, may help by automating task verification through follow-up questioning and decision support. This feasibility study evaluates an AI-powered task verification system integrated with digital reminders for PLwD. It examines (1) GPT-4's ability to generate effective follow-up questions, (2) the accuracy of an AI-driv…

Empirically Predicted Absolute Magnitudes for Red Clump Stars in Mephisto and CSST Filters
Zheng Yu, Bing-Qiu Chen, Xiao-Wei Liu
https://arxiv.org/abs/2506.20078

Empirically Predicted Absolute Magnitudes for Red Clump Stars in Mephisto and CSST Filters
Red clump (RC) stars are reliable standard candles for studying the structure and evolution of the Milky Way. In this study, we present empirical calibrations of RC absolute magnitudes in the Mephisto (v, g, r, i) and CSST (g, r, i) photometric systems using a high-purity sample of 25,059 RC stars cross-matched between APOGEE and Gaia DR3 XP spectra. Through synthetic photometry and polynomial fitting, we find that RC absolute magnitudes exhibit strong dependencies on effective temperature and …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/5]:
- On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu

Hallo @…,
was muß denn in der #robots.txt stehen, um auch im September noch für Euch inidiziert zu werden? #Bing ja wohl nicht mehr, oder doch?

Hier im Zug sitzt einer, der Bing benutzt.

Replaced article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- Self-Organizing Agent Network for LLM-based Workflow Automation
Yiming Xiong, Jian Wang, Bing Li, Yuhan Zhu, Yuqi Zhao

Neo-Gibbsian Statistical Energetics with Applications to Nonequilibrium Cells
Bing Miao, Hong Qian, Yong-Shi Wu
https://arxiv.org/abs/2508.17548 https://ar…

Neo-Gibbsian Statistical Energetics with Applications to Nonequilibrium Cells
Generalization through novel interpretations of the inner logic of the century-old Gibbs' statistical thermodynamics is presented: i) Identifying $k_B\to 0$ as classical energetics, one directly derives a pair of thermodynamic variational formulae \[ F(T) = \min_{E\ge E_{min}}\Big\{E-TS(E) \Big\} \,\text{ and }\ S(E) = \min_{T>0}\left\{\frac{E}{T}-\frac{F(T)}{T} \right\}, \] that dictate all the more familiar $1/T=d S(E)/d E$, $E=d\{F(T)/T\}/d(1/T)$, and $S(E)=-d F(T)/d T$ in equilibrium,…

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
Baofu Han, Bing Li, Yining Qi, Raja Jurdak, Kaibin Huang, Chau Yuen
https://arxiv.org/abs/2507.16134

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
Privacy-Preserving Federated Learning (PPFL) has emerged as a secure distributed Machine Learning (ML) paradigm that aggregates locally trained gradients without exposing raw data. To defend against model poisoning threats, several robustness-enhanced PPFL schemes have been proposed by integrating anomaly detection. Nevertheless, they still face two major challenges: (1) the reliance on heavyweight encryption techniques results in substantial communication and computation overhead; and (2) sing…

Direct measurement of the 103Rh(n,gamma) and 103Rh(gamma,n) cross section up to stellar temperatures at the CSNS Back-n and SSRF SLEGS
Hao Liang, Zhen-dong An, Wei Jiang, Zi-rui Hao, Chen-chen Guo, Yu-gang Ma, Jie Ren, Xi-chao Ruan, Jing-yu Tang, Rui-rui Fan, Gong-tao Fan, Hong-wei Wang, Wen-qing Shen, Yu-bing Li, Jun-heng Hu, Di Sun, Ting Liu, Zi-jun Liu, Yi Sui

Direct measurement of the 103Rh(n,gamma) and 103Rh(gamma,n) cross section up to stellar temperatures at the CSNS Back-n and SSRF SLEGS
The cross sections of 103Rh(n,gamma) and 103Rh(gamma,n) play a crucial role in the stellar nucleosynthesis, rhodium-based self-powered neutron detectors, and nuclear medicine. The cross sections of 103Rh(n,gamma) was measured by the time-of-flight(TOF) method from 1 eV to 1000 keV at the Back-n facility of the Chinese Spallation Neutron Source. In the resolved resonance region, the data reported multiple new resonance structures for the first time. And some discrepancies were observed, offering…

Curvature at the infinity of asymptotically flat Einstein manifold
Bing Wang, Hao Yin
https://arxiv.org/abs/2508.16288 https://arxiv.org/pdf/2508.16288

Curvature at the infinity of asymptotically flat Einstein manifold
In this paper, we construct coordinates at the infinity of an asymptotically flat end of a Ricci-flat manifold $(M_m, g)$ as long as the $L^{m/2}$ norm of the curvature is finite in this end. As applications, we can define a Weyl tensor at the infinity of $M$ and a version of renormalized volume following Biquard and Hein to ALE Ricci-flat manifolds/orbifolds of any dimension.

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception
Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng, Jonas Dirr, Zhenshan Bing, Alois Knoll, R\"udiger Daub
https://arxiv.org/abs/2506.22034

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception
Industrial assembly of deformable linear objects (DLOs) such as cables offers great potential for many industries. However, DLOs pose several challenges for robot-based automation due to the inherent complexity of deformation and, consequentially, the difficulties in anticipating the behavior of DLOs in dynamic situations. Although existing studies have addressed isolated subproblems like shape tracking, grasping, and shape control, there has been limited exploration of integrated workflows tha…

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Heng-Yu Zhang, Xin-Hua Ma, Tian-Lu Chen, Shu-Wang Cui, Danzengluobu, Wei Gao, Wen-Chao Gao, Xin-Rui Gao, Zi-Ao Gong, Hai-Bing Hu, Denis Kuleshov, Kirill Kurinov, Bing-Bing Li, Fan-Ping Li, Jia-Heng Li, Yang Li, Hu Liu, Mao-Yuan Liu, Ye Liu, Xi-An Pan, Da-Yu Peng, Yao-Hui Qi, Dong Qu, Oleg Shchegolev, Yuri Stenkin, Tian-Shuang Yang, Li-Qiao Yin, Hui-Qian Zhang, Liang-Wei Zhang, Shi-Yuan Zhang

Study of Stability and Consistency of EAS Thermal Neutron Detection at ENDA-64
Introduction:Electron-Neutron Detector Array (ENDA) is designed to measure thermal neutrons produced by hadronic interactions between cosmic ray extensive air showers (EAS) and the surrounding environment as well as electrons around the cores of EAS. ENDA is located within Large High Altitude Air Shower Observatory (LHAASO). ENDA was expanded from an initial 16 detectors to 64 detectors in April 2023, so called ENDA-64, and has been running alongside LHAASO. The stability and consistency of neu…

Co-evolution of cosmic ray energy spectra, composition, and anisotropies
Bing-Qiang Qiao, Qiang Yuan, Yi-Qing Guo
https://arxiv.org/abs/2506.18118 https://…

Co-evolution of cosmic ray energy spectra, composition, and anisotropies
The origin of cosmic rays remains an unresolved fundamental problem in astrophysics. The synergy of multiple observational probes, including the energy spectra, the mass composition, and anisotropy is a viable way to jointly uncover this mystery. In this work, we propose that the energy-dependent of those observables in a wide energy range, from $O(10)$ GeV to ultrahigh energies of $10^{11}$ GeV, share quite a few correlated features, indicating a strong co-evolution which could be a consequenc…

Ok. Lycos (one of the granddaddy search engines like Altavista) is still alive and kicking (ok, its Bing behind the scenes, but so is DDG) and it is surprisingly NOT SHIT:
https://triangletoot.party/@monkeyborg/114863903210165291

Replaced article(s) found for hep-lat. https://arxiv.org/list/hep-lat/new
[1/1]:
- Machine Learning Unveils the Power Law of Finite-Volume Energy Shifts
Wei-Jie Zhang, Zhenyu Zhang, Jifeng Hu, Bing-Nan Lu, Jin-Yi Pang, Qian Wang

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Amit Das, Naofumi Tomita, Kyle J. Syme, Weijie Ma, Paige O'Connor, Kristin N. Corbett, Bing Ren, Xiaoying Liu, Saeed Hassanpour
https://arxiv.org/abs/2506.15853

Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Hematoxylin and Eosin (H&E) staining is a cornerstone of pathological analysis, offering reliable visualization of cellular morphology and tissue architecture for cancer diagnosis, subtyping, and grading. Immunohistochemistry (IHC) staining provides molecular insights by detecting specific proteins within tissues, enhancing diagnostic accuracy, and improving treatment planning. However, IHC staining is costly, time-consuming, and resource-intensive, requiring specialized expertise. To address t…

TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting
Jiaming Leng, Yunying Bi, Chuan Qin, Bing Yin, Yanyong Zhang, Chao Wang
https://arxiv.org/abs/2508.14782

TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting
Urban transportation systems encounter diverse challenges across multiple tasks, such as traffic forecasting, electric vehicle (EV) charging demand prediction, and taxi dispatch. Existing approaches suffer from two key limitations: small-scale deep learning models are task-specific and data-hungry, limiting their generalizability across diverse scenarios, while large language models (LLMs), despite offering flexibility through natural language interfaces, struggle with structured spatiotemporal…

Grok's "share" button generates a unique URL that makes private chats searchable on Google, Bing, and DuckDuckGo; Google has indexed 370K Grok conversations (Iain Martin/Forbes)
https://www.forbes.com/sites/iainmartin/20…

Elon Musk’s xAI Published Hundreds Of Thousands Of Grok Chatbot Conversations
xAI published conversations with Grok and made them searchable on Google, including a plan to assassinate Elon Musk and instructions for making fentanyl and bombs.

Iterative Partition Search Variational Quantum Algorithm for Solving Shortest Vector Problem
Zi-Wen Huang, Xiao-Hui Ni, Jia-Cheng Fan, Su-Juan Qin, Wei Huang, Bing-Jie Xu, Fei Gao
https://arxiv.org/abs/2508.18996

Iterative Partition Search Variational Quantum Algorithm for Solving Shortest Vector Problem
The Partition Search Algorithm (PSA) and the Iterative Quantum Optimization with an Adaptive Problem (IQOAP) framework are two existing Variational Quantum Algorithms (VQAs) for solving the Shortest Vector Problem (SVP), but both suffer from certain limitations. In this work, we proposed the Iterative Partition Search Algorithm (IPSA), which is a targeted synthesis and refinement of these preceding methods. Our algorithm inherits the core idea of ``partitioning to circumvent the zero vector" fr…

Non-Hermitian edge burst of sound
Hong-Yu Zou, Bing-Bing Wang, Yong Ge, Ke-Qi Zhao, Yu-Qi Chen, Hong-Xiang Sun, Shou-Qi Yuan, Haoran Xue, Baile Zhang
https://arxiv.org/abs/2508.19255

Non-Hermitian edge burst of sound
Non-Hermitian band topology can give rise to phenomena with no counterparts in Hermitian systems. A well-known example is the non-Hermitian skin effect (NHSE), where Bloch eigenstates localize at a boundary, induced by a nontrivial spectrum winding number. In contrast, recent studies on lossy non-Hermitian lattices have uncovered an unexpected boundary-localized loss probability-a phenomenon that requires not only non-Hermitian band topology but also the closure of the imaginary (dissipative) g…

NIKA2 Cosmological Legacy Survey: Blind detection of galaxy clusters in the COSMOS field via the Sunyaev-Zel'dovich effect
D. Ch\'erouvrier, J. F. Macias-Perez, F. X. D\'esert, R. Adam, P. Ade, H. Ajeddig, S. Amarantidis, P. Andr\'e, H. Aussel, R. Barrena, A. Beelen, A. Benoit, S. Berta, M. B\'ethermin, A. Bongiovanni, J. Bounmy, O. Bourrion, L. -J. Bing, M. Calvo, A. Catalano, M. De Petris, S. Doyle, E. F. C. Driessen, G. Ejlali, A. Ferragamo, M. Fernandez-Torreiro…

NIKA2 Cosmological Legacy Survey: Blind detection of galaxy clusters in the COSMOS field via the Sunyaev-Zel'dovich effect
(Abridged) Clusters of galaxies, formed in the latest stages of structure formation, are unique cosmological probes. With the advent of large CMB surveys like those from the Planck satellite, the ACT and SPT telescopes, we now have access to a large number of galaxy clusters detected at millimeter wavelengths via the thermal Sunyaev-Zel'dovich (tSZ) effect. Nevertheless, it is interesting to complement them with high-angular-resolution (tens of arcseconds) observations to target the lowest-mass…

DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
Anindita Ghosh, Bing Zhou, Rishabh Dabral, Jian Wang, Vladislav Golyanik, Christian Theobalt, Philipp Slusallek, Chuan Guo
https://arxiv.org/abs/2506.18680

DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
We present DuetGen, a novel framework for generating interactive two-person dances from music. The key challenge of this task lies in the inherent complexities of two-person dance interactions, where the partners need to synchronize both with each other and with the music. Inspired by the recent advances in motion synthesis, we propose a two-stage solution: encoding two-person motions into discrete tokens and then generating these tokens from music. To effectively capture intricate interactions…

SCET sum rules for $\Lambda_b \to \Lambda \ell^ \ell^-$, $\Lambda \gamma$ decays
Long-Shun Lu, Cai-Dian L\"u, Yue-Long Shen, Yan-Bing Wei
https://arxiv.org/abs/2506.21419

SCET sum rules for $Λ_b$ $\rightarrow$ $Λ\ell^+\ell^-$, $Λγ$ decays
We construct light-cone sum rules for various types of effective form factors in the $Λ_b \to Λ\ell^+\ell^-$ and $Λ_b \to Λγ$ decays by analyzing vacuum-to-$Λ_b$ (or $γ^\ast$-to-$Λ_b$) correlation functions with the light $Λ$-baryon interpolating current. These form factors, defined via hadronic matrix elements within soft-collinear effective theory (SCET), enter the next-to-leading-power QCD factorization formulas for large-recoil transitions. Implementing the perturbative matching fr…

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
Jianyu Wang, Zhiqiang Hu, Lidong Bing
https://arxiv.org/abs/2506.17930 https://

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
We propose a novel prompt design paradigm that challenges conventional wisdom in large language model (LLM) prompting. While conventional wisdom prioritizes well-crafted instructions and demonstrations for in-context learning (ICL), we show that pruning random demonstrations into seemingly incoherent "gibberish" can remarkably improve performance across diverse tasks. Notably, the "gibberish" always matches or surpasses state-of-the-art automatic prompt optimization techniques, achieving substa…

An Iterative Methodology for Unitary Quantum Channel Search
Matthew M. Lin, Hao-Wei Huang, Bing-Ze Lu
https://arxiv.org/abs/2506.21455 https://

An Iterative Methodology for Unitary Quantum Channel Search
In this paper, we propose an iterative algorithm using polar decomposition to approximate a channel characterized by a single unitary matrix based on input-output quantum state pairs. In limited data, we state and prove that the optimal solution obtained from our method using one pair with a specific structure will generate an equivalent class, significantly reducing the dimension of the searching space. Furthermore, we prove that the unitary matrices describing the same channel differ by a com…

"Horse Archer go *Bing*"
https://www.youtube.com/shorts/nrzliHTO6to

Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation
Yanzhen Zou, Xianlin Zhao, Xinglu Pan, Bing Xie
https://arxiv.org/abs/2506.14649

Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation
Issue reports have been recognized to contain rich information for retrieval-augmented code comment generation. However, how to minimize hallucinations in the generated comments remains significant challenges. In this paper, we propose IsComment, an issue-based LLM retrieval and verification approach for generating method's design rationale, usage directives, and so on as supplementary code comments. We first identify five main types of code supplementary information that issue reports can prov…

Non-r-partite graphs without complete split subgraphs
Bing Wang, Wenwen Chen, Ping Zhang
https://arxiv.org/abs/2508.12210 https://arxiv.org/pdf/2508.12210

Non-r-partite graphs without complete split subgraphs
The classical Simonovits' chromatic critical edge theorem shows that for sufficiently large $n$, if $H$ is an edge-color-critical graph with $χ(H)=p+1\ge 3$, then the Turán graph $T_{n,p}$ is the unique extremal graph with respect to ${\rm ex}(n,H)$. Denote by ${\rm EX}_{r+1}(n,H)$ and ${\rm SPEX}_{r+1}(n,H)$ the family of $n$-vertex $H$-free non-$r$-partite graphs with the maximum size and with the spectral radius, respectively. Li and Peng [SIAM J. Discrete Math. 37 (2023) 2462--2485] chara…

Shubnikov-de Haas oscillations and planar Hall effect in HfTe2
Qixuan Li, Gangjian Jin, Nannan Tang, Bin Wang, Bing Shen, Donghui Guo, Dingyong Zhong, Huakun Zuo, Huichao Wang
https://arxiv.org/abs/2508.18956

Shubnikov-de Haas oscillations and planar Hall effect in HfTe2
Layered transition-metal dichalcogenide (TMD) HfTe2 is a topological semimetal candidate with increasing attentions recently. The map of the Fermi surface is of interest and importance to understand its properties. Here we present a study of Shubnikov-de Haas (SdH) oscillations and planar Hall effect (PHE) in HfTe2. The single crystals grown by flux method show the largest unsaturated magnetoresistance (MR) effect of 1.1*104 % at 14 T and 2 K. The angle-resolved SdH oscillations reveal that the…

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Kaiyuan Tan, Yingying Shen, Haohui Zhu, Zhiwei Zhan, Shan Zhao, Mingfei Tu, Hongcheng Luo, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye
https://arxiv.org/abs/2508.15529

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Synthesizing extrapolated views from recorded driving logs is critical for simulating driving scenes for autonomous driving vehicles, yet it remains a challenging task. Recent methods leverage generative priors as pseudo ground truth, but often lead to poor geometric consistency and over-smoothed renderings. To address these limitations, we propose ExtraGS, a holistic framework for trajectory extrapolation that integrates both geometric and generative priors. At the core of ExtraGS is a novel R…

Radio-Frequency Quantum Rectification in Kagome Superconductor CsV3Sb5
Han-Xin Lou, Jing-Jing Chen, Xing-Guo Ye, Zhen-Bing Tan, An-Qi Wang, Qing Yin, Xin Liao, Jing-Zhi Fang, Xing-Yu Liu, Yi-Lin He, Zhen-Tao Zhang, Chuan Li, Zhong-Ming Wei, Xiu-Mei Ma, Dapeng Yu, Zhi-Min Liao
https://arxiv.org/abs/2508.15266

Radio-Frequency Quantum Rectification in Kagome Superconductor CsV3Sb5
Rectification of electromagnetic fields into direct current (DC) is pivotal for energy harvesting, wireless charging, and next-generation communication technologies. The superconducting diode effect, which exploits the nonreciprocal transport of dissipationless superconducting currents, offers ultra-low power consumption and high rectification ratios. Combining the superconducting diode effect with the AC Josephson effect holds promise for converting radio-frequency (rf) irradiation into a quan…

Wenn Konzerne Kontrolle über viel Land erlangen. Internationales Landgrabbing nimmt zu, auch in Deutschland.
https://www.telepolis.de/features/Landgrabbing-Wenn-Konzerne-Laender-schlucken-10424005.html

Landgrabbing: Wenn Konzerne Länder schlucken
Von Benetton bis Shell: Transnationaler Landbesitz nimmt rasant zu. Bedrohungen für Menschenrechte weltweit. Nun regt sich Widerstand.

LLMATCH: A Unified Schema Matching Framework with Large Language Models
Sha Wang, Yuchen Li, Hanhua Xiao, Bing Tian Dai, Roy Ka-Wei Lee, Yanfei Dong, Lambert Deng
https://arxiv.org/abs/2507.10897

LLMATCH: A Unified Schema Matching Framework with Large Language Models
Schema matching is a foundational task in enterprise data integration, aiming to align disparate data sources. While traditional methods handle simple one-to-one table mappings, they often struggle with complex multi-table schema matching in real-world applications. We present LLMatch, a unified and modular schema matching framework. LLMatch decomposes schema matching into three distinct stages: schema preparation, table-candidate selection, and column-level alignment, enabling component-level …

🇺🇦 Auf radioeins läuft...
Bing Austria & The Flippin' Soul Stompers:
🎵 Ruined Heart (Rocksteady)
#NowPlaying #BingAustria #TheFlippinSoulStompers
https://funinthechurch.bandcamp.com/track/ruined-heart
https://open.spotify.com/track/78LWYOXsR0h7CjhwzIJWb4

EP250108a/SN2025kg: A Magnetar-powered Gamma-Ray Burst Supernova Originating from a Close Helium-star Binary via Isolated Binary Evolution
Jin-Ping Zhu, Jian-He Zheng, Bing Zhang
https://arxiv.org/abs/2507.18544

EP250108a/SN2025kg: A Magnetar-powered Gamma-Ray Burst Supernova Originating from a Close Helium-star Binary via Isolated Binary Evolution
SN\,2025kg, linked to EP250108a, is among the brightest broad-lined Type Ic supernova (SN Ic-BL) known, showing unique helium absorptions, a late-time broad H$α$, and an early bump. In this {\em{Letter}}, we propose a jet-cocoon origin to explain EP250108a as off-axis cooling emission from a mildly relativistic inner cocoon viewed at $\sim45^\circ$ and the early bump of SN\,2025kg as the outer cocoon cooling emission, both constraining an energy of $\sim(1-2)\times10^{52}{\rm{erg}}$ and a prog…

Genetic Informed Trees (GIT*): Path Planning via Reinforced Genetic Programming Heuristics
Liding Zhang, Kuanqi Cai, Zhenshan Bing, Chaoqun Wang, Alois Knoll
https://arxiv.org/abs/2508.20871

Genetic Informed Trees (GIT*): Path Planning via Reinforced Genetic Programming Heuristics
Optimal path planning involves finding a feasible state sequence between a start and a goal that optimizes an objective. This process relies on heuristic functions to guide the search direction. While a robust function can improve search efficiency and solution quality, current methods often overlook available environmental data and simplify the function structure due to the complexity of information relationships. This study introduces Genetic Informed Trees (GIT*), which improves upon Effort …

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design
Wen-Fan Wang, Ting-Ying Lee, Chien-Ting Lu, Che-Wei Hsu, Nil Ponsa Campany, Yu Chen, Mike Y. Chen, Bing-Yu Chen
https://arxiv.org/abs/2508.15227

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design
Environment designers in the entertainment industry create imaginative 2D and 3D scenes for games, films, and television, requiring both fine-grained control of specific details and consistent global coherence. Designers have increasingly integrated generative AI into their workflows, often relying on large language models (LLMs) to expand user prompts for text-to-image generation, then iteratively refining those prompts and applying inpainting. However, our formative study with 10 designers su…

Emergence of Photon Bose-Einstein Condensation from Down-Scattering in Cold Electron Media
Bing'ang Guo, Wei Kou, Xurong Chen
https://arxiv.org/abs/2508.17267 https://

Emergence of Photon Bose-Einstein Condensation from Down-Scattering in Cold Electron Media
In this study, we examine the emergence of photon Bose-Einstein condensation (BEC) resulting from the interaction of high-energy photons with a cold electron gas, modeled via a modified Kompaneets equation. Beginning with an initial black-body photon spectrum, we perform numerical simulations to track the evolution of the photon distribution under the influence of inverse Compton scattering, wherein photons dissipate energy through collisions with cold electrons. Our results demonstrate a prono…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
Xinghang Li, Jingzhe Ding, Chao Peng, Bing Zhao, Xiang Gao, Hongwan Gao, Xinchen Gu

Deep Fuzzy Optimization for Batch-Size and Nearest Neighbors in Optimal Robot Motion Planning
Liding Zhang, Qiyang Zong, Yu Zhang, Zhenshan Bing, Alois Knoll
https://arxiv.org/abs/2508.20884

Deep Fuzzy Optimization for Batch-Size and Nearest Neighbors in Optimal Robot Motion Planning
Efficient motion planning algorithms are essential in robotics. Optimizing essential parameters, such as batch size and nearest neighbor selection in sampling-based methods, can enhance performance in the planning process. However, existing approaches often lack environmental adaptability. Inspired by the method of the deep fuzzy neural networks, this work introduces Learning-based Informed Trees (LIT*), a sampling-based deep fuzzy learning-based planner that dynamically adjusts batch size and …

SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling
Jinghui Wang, Shaojie Wang, Yinghan Cui, Xuxing Chen, Chao Wang, Xiaojiang Zhang, Minglei Zhang, Jiarong Zhang, Wenhao Zhuang, Yuchen Cao, Wankang Bao, Haimo Li, Zheng Lin, Huiming Wang, Haoyang Huang, Zongxian Feng, Zizheng Zhan, Ken Deng, Wen Xiang, Huaixi Tang, Kun Wu, Mengtong Li, Mengfei Xie, Junyi Peng, Haotian Zhang, Bin Chen, Bing Yu

SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling
We introduce SeamlessFlow, a server based reinforcement learning (RL) framework that addresses two core challenges in industrial scale RL: (1) decoupling RL training from the complex execution flow of agents; (2) maximizing GPU utilization with minimal idle time while preserving the stability and scalability required for large-scale deployments. First, SeamlessFlow introduces a data plane that decouples the RL trainer from diverse, complex agent implementations while sustaining high throughput.…

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
Hongda Zhu, Yiwen Zhang, Bing Zhao, Jingzhe Ding, Siyao Liu, Tong Liu, Dandan Wang, Yanan Liu, Zhaojian Li
https://arxiv.org/abs/2506.13832

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
Large Language Models (LLMs) have made significant strides in front-end code generation. However, existing benchmarks exhibit several critical limitations: many tasks are overly simplistic, test cases often lack rigor, and end-to-end validation is absent. These issues hinder the accurate assessment of model performance. To address these challenges, we present FrontendBench, a benchmark co-developed by humans and LLMs. FrontendBench categorizes tasks based on code functionality and incorporates …

Language-Enhanced Mobile Manipulation for Efficient Object Search in Indoor Environments
Liding Zhang, Zeqi Li, Kuanqi Cai, Qian Huang, Zhenshan Bing, Alois Knoll
https://arxiv.org/abs/2508.20899

Language-Enhanced Mobile Manipulation for Efficient Object Search in Indoor Environments
Enabling robots to efficiently search for and identify objects in complex, unstructured environments is critical for diverse applications ranging from household assistance to industrial automation. However, traditional scene representations typically capture only static semantics and lack interpretable contextual reasoning, limiting their ability to guide object search in completely unfamiliar settings. To address this challenge, we propose a language-enhanced hierarchical navigation framework …

Compressed Video Super-Resolution based on Hierarchical Encoding
Yuxuan Jiang, Siyue Teng, Qiang Zhu, Chen Feng, Chengxi Zeng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull
https://arxiv.org/abs/2506.14381

Compressed Video Super-Resolution based on Hierarchical Encoding
This paper presents a general-purpose video super-resolution (VSR) method, dubbed VSR-HE, specifically designed to enhance the perceptual quality of compressed content. Targeting scenarios characterized by heavy compression, the method upscales low-resolution videos by a ratio of four, from 180p to 720p or from 270p to 1080p. VSR-HE adopts hierarchical encoding transformer blocks and has been sophisticatedly optimized to eliminate a wide range of compression artifacts commonly introduced by H.2…

Exploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection
Bing Han, Anbai Jiang, Xinhu Zheng, Wei-Qiang Zhang, Jia Liu, Pingyi Fan, Yanmin Qian
https://arxiv.org/abs/2508.12230

Exploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection
Machine anomalous sound detection (ASD) is a valuable technique across various applications. However, its generalization performance is often limited due to challenges in data collection and the complexity of acoustic environments. Inspired by the success of large pre-trained models in numerous fields, this paper introduces a robust ASD model that leverages self-supervised pre-trained models trained on large-scale speech and audio datasets. Although there are inconsistencies between the pre-tra…

Performance of GPT-5 Frontier Models in Ophthalmology Question Answering
Fares Antaki, David Mikhail, Daniel Milad, Danny A Mammo, Sumit Sharma, Sunil K Srivastava, Bing Yu Chen, Samir Touma, Mertcan Sevgi, Jonathan El-Khoury, Pearse A Keane, Qingyu Chen, Yih Chung Tham, Renaud Duval
https://arxiv.org/abs/2508.09956

Performance of GPT-5 Frontier Models in Ophthalmology Question Answering
Large language models (LLMs) such as GPT-5 integrate advanced reasoning capabilities that may improve performance on complex medical question-answering tasks. For this latest generation of reasoning models, the configurations that maximize both accuracy and cost-efficiency have yet to be established. We evaluated 12 configurations of OpenAI's GPT-5 series (three model tiers across four reasoning effort settings) alongside o1-high, o3-high, and GPT-4o, using 260 closed-access multiple-choice que…

Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
Yanhong Luo, Wenchao Meng, Xi Zhu, Andreas Elombo, Hu Rong, Bing Xie, Tianwen Zhang
https://arxiv.org/abs/2506.15191

Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
With the increasing prevalence of distributed generators, islanded operation based on distributed generation is considered a vital means to enhance the reliability and resilience of smart grids. This paper investigates the main factors in islanding partition of smart grids and establishes a mathematical model for islanding division. A method to determine the maximum power supply range of distributed energy resources (DERs) based on the reachability matrix and power circle algorithm is proposed …

Quantum Parameter Estimation Uncertainty Relation
Bing-Shu Hu, Xiao-Ming Lu
https://arxiv.org/abs/2506.15352 https://arxiv.org/pdf/25…

Quantum Parameter Estimation Uncertainty Relation
Quantum multiparameter estimation aims to simultaneously estimate multiple parameters from observing quantum systems and data processing. The complexity of quantum multiparameter estimation arises primarily from measurement incompatibility and parameter correlations. By manipulating the multidimensional parameter space, we derive an estimation uncertainty relation that captures the impact of measurement incompatibility and parameter correlation on quantum two-parameter estimation. This uncertai…

Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
Jiantao Wang, Yi-Chi Zhang, Yan Liu, Hongkun Deng, Mingfeng Liu, Yan Sun, Bing Li, Xing-Qiu Chen, Peitao Liu
https://arxiv.org/abs/2508.13862

Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
Conventional barocaloric materials typically exhibit limited operating temperature ranges. In contrast, KPF$_6$ has recently been reported to achieve an exceptional all-temperature barocaloric effect (BCE) via pressure-driven phase transitions. Here, we elucidate the atomistic mechanisms underlying the phase transitions through first-principles calculations and machine-learning potential accelerated molecular dynamics simulations. We identify four distinct phases: the room-temperature cubic (C)…

Transport Properties of QGP within a Bayesian Holographic QCD Model
Bing Chen, Liqiang Zhu, Xun Chen, Defu Hou, Xurong Chen
https://arxiv.org/abs/2508.16167 https://

Transport Properties of QGP within a Bayesian Holographic QCD Model
Using a holographic QCD model augmented by Bayesian inference, we calculate key transport coefficients of the quark-gluon plasma (QGP)$\text{-}$including the drag force, jet quenching parameter, heavy quark diffusion coefficient, and shear and bulk viscosities$\text{-}$at finite temperature and chemical potential. Posterior parameter distributions at the 68\% and 95\% confidence levels (CL), as well as the maximum a posteriori (MAP) estimates, are employed to quantify uncertainties. Our finding…

Self-Organizing Agent Network for LLM-based Workflow Automation
Yiming Xiong, Jian Wang, Bing Li, Yuhan Zhu, Yuqi Zhao
https://arxiv.org/abs/2508.13732 https://

Self-Organizing Agent Network for LLM-based Workflow Automation
Recent multi-agent frameworks built upon large language models (LLMs) have demonstrated remarkable capabilities in complex task planning. However, in real-world enterprise environments, business workflows are typically composed through modularization and reuse of numerous subprocesses, resulting in intricate workflows characterized by lengthy and deeply nested execution paths. Such complexity poses significant challenges for LLM-driven orchestration, as extended reasoning chains and state-space…

Numerical Artifacts in Learning Dynamical Systems
Bing-Ze Lu, Richard Tsai
https://arxiv.org/abs/2507.14491 https://arxiv.org/pdf/250…

Numerical Artifacts in Learning Dynamical Systems
In many applications, one needs to learn a dynamical system from its solutions sampled at a finite number of time points. The learning problem is often formulated as an optimization problem over a chosen function class. However, in the optimization procedure, it is necessary to employ a numerical scheme to integrate candidate dynamical systems and assess how their solutions fit the data. This paper reveals potentially serious effects of a chosen numerical scheme on the learning outcome. In …

Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
Liding Zhang, Yao Ling, Zhenshan Bing, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19776

Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
Bidirectional motion planning often reduces planning time compared to its unidirectional counterparts. It requires connecting the forward and reverse search trees to form a continuous path. However, this process could fail and restart the asymmetric bidirectional search due to the limitations of lazy-reverse search. To address this challenge, we propose Greedy GuILD Grafting Trees (G3T*), a novel path planner that grafts invalid edge connections at both ends to re-establish tree-based connectiv…

ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation
Bing-Jyue Chen, Lilia Tang, Daniel Kang
https://arxiv.org/abs/2507.07031

ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation
As AI models become ubiquitous in our daily lives, there has been an increasing demand for transparency in ML services. However, the model owner does not want to reveal the weights, as they are considered trade secrets. To solve this problem, researchers have turned to zero-knowledge proofs of ML model inference. These proofs convince the user that the ML model output is correct, without revealing the weights of the model to the user. Past work on these provers can be placed into two categories…

A prolific repeating fast radio burst source and a crisis of the magnetar model
Jun-Shuo Zhang, Tian-Cong Wang, Pei Wang, He Gao, Qin Wu, Di Li, Weiwei Zhu, Bing Zhang, Ke-Jia Lee, Jinlin Han, Chao-Wei Tsai, Fayin Wang, Yong-Feng Huang, Yuan-Chuan Zou, Dengke Zhou, Wanjin Lu, Jintao Xie, Jianhua Fang, Jinhuang Cao, Chen-Chen Miao, Yuhao Zhu, Yunchuan Chen, Xiaofeng Cheng, Yinan Ke, Yong-Kun Zhang, Long-Xuan Zhang, Shuo Cao, Shiyan Tian, Zi-Wei Wu, Chunfeng Zhang, Jiarui Niu, Dejiang Zh…

A prolific repeating fast radio burst source and a crisis of the magnetar model
Magnetars are widely considered to be the central engine of fast radio bursts (FRBs), capable of driving coherent radio emission through magnetic energy release. The accumulation of burst energy can be employed as a probe to reveal the nature of FRB energy engine. Current observations of repeaters have not yet provided sufficient constraints on the magnetic energy budget for magnetar models. Here we report 11,553 bursts detected from the hyper-active repeating source FRB 20240114A over 214 days…

Elliptical K-Nearest Neighbors -- Path Optimization via Coulomb's Law and Invalid Vertices in C-space Obstacles
Liding Zhang, Zhenshan Bing, Yu Zhang, Kuanqi Cai, Lingyun Chen, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19771

Elliptical K-Nearest Neighbors -- Path Optimization via Coulomb's Law and Invalid Vertices in C-space Obstacles
Path planning has long been an important and active research area in robotics. To address challenges in high-dimensional motion planning, this study introduces the Force Direction Informed Trees (FDIT*), a sampling-based planner designed to enhance speed and cost-effectiveness in pathfinding. FDIT* builds upon the state-of-the-art informed sampling planner, the Effort Informed Trees (EIT*), by capitalizing on often-overlooked information in invalid vertices. It incorporates principles of physic…

Non-Equilibrium Criticality-Enhanced Quantum Sensing with Superconducting Qubits
Hao Li, Yaoling Yang, Yun-Hao Shi, Zheng-An Wang, Ziting Wang, Jintao Li, Yipeng Zhang, Kui Zhao, Yue-Shan Xu, Cheng-Lin Deng, Yu Liu, Wei-Guo Ma, Tian-Ming Li, Jia-Chi Zhang, Cai-Ping Fang, Jia-Cheng Song, Hao-Tian Liu, Si-Yun Zhou, Zheng-He Liu, Bing-Jie Chen, Gui-Han Liang, Xiaohui Song, Zhongcheng Xiang, Kai Xu, Kaixuan Huang, Abolfazl Bayat, Heng Fan

Non-Equilibrium Criticality-Enhanced Quantum Sensing with Superconducting Qubits
Exploiting quantum features allows for estimating external parameters with precisions well beyond the capacity of classical sensors, a phenomenon known as quantum-enhanced precision. Quantum criticality has been identified as a resource for achieving such enhancements with respect to the probe size. However, they demand complex probe preparation and measurement and the achievable enhancement is ultimately restricted to narrow parameter regimes. On the other hand, non-equilibrium probes harness …

APT*: Asymptotically Optimal Motion Planning via Adaptively Prolated Elliptical R-Nearest Neighbors
Liding Zhang, Sicheng Wang, Kuanqi Cai, Zhenshan Bing, Fan Wu, Chaoqun Wang, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19790

APT*: Asymptotically Optimal Motion Planning via Adaptively Prolated Elliptical R-Nearest Neighbors
Optimal path planning aims to determine a sequence of states from a start to a goal while accounting for planning objectives. Popular methods often integrate fixed batch sizes and neglect information on obstacles, which is not problem-specific. This study introduces Adaptively Prolated Trees (APT*), a novel sampling-based motion planner that extends based on Force Direction Informed Trees (FDIT*), integrating adaptive batch-sizing and elliptical $r$-nearest neighbor modules to dynamically modul…

Long-term simultaneous 2.25/8.60~GHz monitoring of the newly-discovered repeating FRB~20240114A
Xiao-Wei Wang, Zhen Yan, Zhi-Qiang Shen, Ke-Jia Lee, Ya-Jun Wu, Rong-Bing Zhao, Jie Liu, Rui Wang, Kuo Liu, Yuan-Chuan Zou, Zhi-Peng Hang, Chu-Yuan Zhang, Fan Yang, Zhen-Long Liao, Yang-Yang Lin
https://arxiv.org/abs/2508.15615

Long-term simultaneous 2.25/8.60~GHz monitoring of the newly-discovered repeating FRB~20240114A
We report on the simultaneous monitoring of the repeating fast radio burst (FRB) 20240114A at 2.25 and 8.60~GHz, conducted 66 times between 2024 January 29 and 2025 February 15 with the Shanghai Tianma Radio Telescope (TMRT). In about 180 hours of observation, we detected 155 bursts at 2.25~GHz above a fluence threshold of 0.72~Jy~ms, but none at 8.60~GHz above a fluence threshold of 0.27~Jy~ms. FRB~20240114A exhibited frequency-dependent activity, as evidenced by the non-detections in 14.3 hou…

Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks
Yanbing Chen, Jonathan Nelson, Bing Zhou, Ryan Zhenqi Zhou, Shan Ye, Haokun Liu, Zhining Gu, Armita Kar, Hoeyun Kwon, Pengyu Chen, Maoran Sun, Yuhao Kang
https://arxiv.org/abs/2508.09043

Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks
Academia is profoundly influenced by faculty hiring networks, which serve as critical conduits for knowledge dissemination and the formation of collaborative research initiatives. While extensive research in various disciplines has revealed the institutional hierarchies inherent in these networks, their impacts within GIScience remain underexplored. To fill this gap, this study analyzes the placement patterns of 946 GIScience faculty worldwide by mapping the connections between PhD-granting ins…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/4]:
- Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion
Haim Sawdayee, Chuan Guo, Guy Tevet, Bing Zhou, Jian Wang, Amit H. Bermano

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang
https://arxiv.org/abs/2507.07030

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
The rapid advancement of conversational search systems revolutionizes how information is accessed by enabling the multi-turn interaction between the user and the system. Existing conversational search systems are usually built with two different models. This separation restricts the system from leveraging the intrinsic knowledge of the models simultaneously, which cannot ensure the effectiveness of retrieval benefiting the generation. The existing studies for developing unified models cannot fu…

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng
https://arxiv.org/abs/2506.10142

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
Precise segmentation of brain tumors, particularly contrast-enhancing regions visible in post-contrast MRI (areas highlighted by contrast agent injection), is crucial for accurate clinical diagnosis and treatment planning but remains challenging. However, current methods exhibit notable performance degradation in segmenting these enhancing brain tumor areas, largely due to insufficient consideration of MRI-specific tumor features such as complex textures and directional variations. To address t…

Direction Informed Trees (DIT*): Optimal Path Planning via Direction Filter and Direction Cost Heuristic
Liding Zhang, Kejia Chen, Kuanqi Cai, Yu Zhang, Yixuan Dang, Yansong Wu, Zhenshan Bing, Fan Wu, Sami Haddadin, Alois Knoll
https://arxiv.org/abs/2508.19168

Direction Informed Trees (DIT*): Optimal Path Planning via Direction Filter and Direction Cost Heuristic
Optimal path planning requires finding a series of feasible states from the starting point to the goal to optimize objectives. Popular path planning algorithms, such as Effort Informed Trees (EIT*), employ effort heuristics to guide the search. Effective heuristics are accurate and computationally efficient, but achieving both can be challenging due to their conflicting nature. This paper proposes Direction Informed Trees (DIT*), a sampling-based planner that focuses on optimizing the search di…

Magnetars in Binaries as the Engine of Actively Repeating Fast Radio Bursts
Bing Zhang (HKU,UNLV), Rui-Chong Hu (UNLV)
https://arxiv.org/abs/2508.12119 https://

Magnetars in Binaries as the Engine of Actively Repeating Fast Radio Bursts
The association between FRB 20200428D and the Galactic magnetar SGR J1935+2154 makes magnetars the leading engine of cosmological fast radio bursts (FRBs). However, there is a list of puzzles for this magnetar-for-all-FRBs scenario: known Galactic magnetars are all isolated and none of them are active repeaters; some cosmological repeaters have extremely high repetition rates but without any measurable spin-related periodicity; some show long-term periodic active windows; and some show diverse …

Connecting dilaton thermal fluctuation with the Polyakov loop at finite temperature
Bing-Kai Sheng, Yong-Liang Ma
https://arxiv.org/abs/2506.13549 https://…

Connecting dilaton thermal fluctuation with the Polyakov loop at finite temperature
Understanding the character of the deconfinement phase transition is one of the fundamental challenges in particle physics. In this work, we derive a formula for the expectation value of the Polyakov loop -- the order parameter of the deconfinement phase transition -- in pure $\mathrm{SU(N_{\mathrm{c}})}$ gauge systems at finite temperatures starting from the Coleman\textendash Weinberg-type effective potential encoding the trace anomaly of QCD. Our results are in good agreement with the Lattic…

Observation and Modulation of the Quantum Mpemba Effect on a Superconducting Quantum Processor
Yueshan Xu, Cai-Ping Fang, Bing-Jie Chen, Ming-Chuan Wang, Zi-Yong Ge, Yun-Hao Shi, Yu Liu, Cheng-Lin Deng, Kui Zhao, Zheng-He Liu, Tian-Ming Li, Hao Li, Ziting Wang, Gui-Han Liang, Da'er Feng, Xueyi Guo, Xu-Yang Gu, Yang He, Hao-Tian Liu, Zheng-Yang Mei, Yongxi Xiao, Yu Yan, Yi-Han Yu, Wei-Ping Yuan, Jia-Chi Zhang, Zheng-An Wang, Gangqin Liu, Xiaohui Song, Ye Tian, Yu-Ran Zhang, Shi-Xin …

Observation and Modulation of the Quantum Mpemba Effect on a Superconducting Quantum Processor
In non-equilibrium quantum many-body systems, the quantum Mpemba effect (QME) emerges as a counterintuitive phenomenon: systems exhibiting greater initial symmetry breaking restore symmetry faster than those with less. While theoretical exploration of QME has surged, experimental studies on its multidimensional modulation remain limited. Here, we report the observation and control of QME using a superconducting processor featuring a unique fully connected, tunable-coupling architecture that ena…

The electromagnetic form factors of $\Sigma$ and $\Sigma^0 \to \Lambda$ transition in the timelike region
Cheng Chen, Bing Yan, Bing-Wei Long, Ju-Jun Xie
https://arxiv.org/abs/2507.01277

The electromagnetic form factors of $Σ$ and $Σ^0 \to Λ$ transition in the timelike region
We investigate the $e^+e^-\to Σ\barΣ$ and $e^+e^-\to Λ\barΣ^0$ reactions within the extended vector meson dominance model. In addition to the ground state mesons $ρ$ and $ω$, we consider the contributions of the excited states $ρ(3D)$, $ω(3D)$, $ϕ(3D)$, and $ρ(6D)$. It is found that the current experimental data on the $Σ$ electromagnetic form factors in timelike region can be well reproduced. And the $ϕ(3D)$ resonance is essential to the near threshold enhancement of the cross sect…

Exploring the Link between Fast Radio Burst and Binary Neutron Star Origins with Spaceborne Gravitational Wave Observations
Yu-xuan Yin, En-kun Li, Bing Zhang, Yi-Ming Hu
https://arxiv.org/abs/2506.12602

Exploring the Link between Fast Radio Burst and Binary Neutron Star Origins with Spaceborne Gravitational Wave Observations
The origin of repeating Fast Radio Bursts (FRBs) is an open question, with observations suggesting that at least some are associated with old stellar populations. It has been proposed that some repeating FRBs may be produced by interactions of the binary neutron star magnetospheres decades to centuries before the coalescence. These systems would also emit centi-Hertz gravitational waves during this period, which can be detectable by space-borne gravitational wave detectors. We explore the prosp…

Fully strange tetraquark states via QCD sum rules
Bing-Dong Wan, Ji-Chong Yang
https://arxiv.org/abs/2507.11874 https://arxiv.org/pdf…

Fully strange tetraquark states via QCD sum rules
In this paper, we have systematically explored the mass spectrum of fully strange tetraquark candidates within the framework of QCD sum rules, focusing on states with quantum numbers $J^{PC}=0^{++}$, $0^{-+}$, $0^{--}$, $1^{--}$, $1^{+-}$, and $1^{++}$. The analysis reveals the existence of fully strange tetraquark states with masses ranging from approximately $2.08$ to $3.12$ GeV. These predictions are confronted with existing experimental observations of potential fully strange tetraquark res…

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Yihan Wang, Connery Chen, Bing Zhang
https://arxiv.org/abs/2507.10829 https://

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Gamma-ray bursts (GRBs) are the most luminous astrophysical transients, known to be associated with core collapse of massive stars or mergers of two compact objects such as two neutron stars. They are followed by multi-wavelength afterglow emission originating from the deceleration of the relativistic jets by the ambient medium. The study of after emission offers crucial insights into the physics of relativistic shocks, the properties of the circumburst environment, as well as the physical and …

Mass spectrum of the $\Omega\bar{\Omega}$ states
Bing-Dong Wan, Jun-Hao Zhang, Yan Zhang
https://arxiv.org/abs/2508.10763 https://arxiv.org/pdf/2508.10763

Mass spectrum of the $Ω\barΩ$ states
In this study, we investigate the mass spectrum of the $Ω\barΩ$ states with quantum numbers $J^{PC}=0^{-+}$, $1^{--}$, $0^{++}$, and $1^{++}$ within the framework of QCD sum rules. Employing suitably constructed interpolating currents, the analyses are carried out with the operator product expansion (OPE) including condensate contributions up to dimension $12$. Our results indicate the existence of four possible baryonium states with masses $m_{0^{-+}}=(3.22\pm0.07)$ GeV, $m_{1^{--}}=(3.28\pm…

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Wenlong Liang, Rui Zhou, Yang Ma, Bing Zhang, Songlin Li, Yijia Liao, Ping Kuang
https://arxiv.org/abs/2508.10399

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Embodied AI aims to develop intelligent systems with physical forms capable of perceiving, decision-making, acting, and learning in real-world environments, providing a promising way to Artificial General Intelligence (AGI). Despite decades of explorations, it remains challenging for embodied agents to achieve human-level intelligence for general-purpose tasks in open dynamic environments. Recent breakthroughs in large models have revolutionized embodied AI by enhancing perception, interaction,…