Papers
Research papers from arXiv and related sources
Design and implementation of a high-density sub-nanosecond timing system for a C-band photocathode electron gun test platform
This paper presents the design and implementation of a high-density, deterministic trigger distribution system tailored for the C-band photocathode electron gun test platform at the Southern Advanc...
Peng Zhu, Kangjia Xue, Lin Wang, Yuliang Zhang, Yongcheng Hea, Xuan Wu, Mingtao Li, Sinong Cheng,...
Sometimes nonparametrics beat parametrics, even when the model is right
A basic issue in both teaching of and practice of statistics is the interplay between modelling assumptions and inference performance. The general message conveyed is that stronger assumptions lead...
Morten Byholt, Nils Lid Hjort
Color image restoration based on nonlocal saturation-value similarity
In this paper, we propose and develop a novel nonlocal variational technique based on saturation-value similarity for color image restoration. In traditional nonlocal methods, image patches are ext...
Wei Wang, Yakun Li
Model Reference Adaptive Control For Gust Load Allevation of Nonlinear Aeroelastic
Model Reference Adaptive Control based on Lyapunov stability theory is developed for gust load alleviation of nonlinear aeroelastic systems. The controller operates on a nonlinear reduced-order mod...
Nikolaos D. Tantaroudas, Andrea Da Ronch, Guanqun Gai, Ilias Karachalios, Kenneth J. Badcock, Raf...
Breaking Hard Isomorphism Benchmarks with DRESS
In this paper we study the single-deletion variant $Δ$-DRESS, part of the broader DRESS framework. We demonstrate empirically that $Δ$-DRESS, a single level of vertex deletion applied to the DRESS ...
Eduar Castrillo Velilla
ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
Evaluating whether explanations faithfully reflect a model's reasoning remains an open problem. Existing benchmarks use single interventions without statistical testing, making it impossible to dis...
Abhinaba Basu, Pavan Chakraborty
UEPS: Robust and Efficient MRI Reconstruction
Deep unrolled models (DUMs) have become the state of the art for accelerated MRI reconstruction, yet their robustness under domain shift remains a critical barrier to clinical adoption. In this wor...
Xiang Zhou, Hong Shang, Zijian Zhan, Tianyu He, Jintao Meng, Dong Liang
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Large language models incur high inference latency due to sequential autoregressive decoding. Speculative decoding alleviates this bottleneck by using a lightweight draft model to propose multiple ...
Shenggui Li, Chao Wang, Yikai Zhu, Yubo Wang, Fan Yin, Shuai Shi, Yefei Chen, Xiaomin Dong, Qiaol...
Stability of Charge Collection Efficiency and Time Resolution in 4H-SiC PIN Diodes Under X-ray Irradiation
This study evaluates the radiation tolerance of a 4H-SiC PIN detector under X-ray irradiation up to \SI{2}{MGy} (Si) at \SI{160}{keV}. The detector features a fully epitaxial vertical PIN structure...
Jiaqi Zhou, Sen Zhao, Xiyuan Zhang, Suyu Xiao, Chenxi Fu, Congcong Wang, Yanpeng Li, Weimin Song,...
HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
This paper transfers three statistical methods from particle physics to multirotor propeller fault detection: the likelihood ratio test (LRT) for binary detection, the CLs modified frequentist meth...
Khushiyant
CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
Medical vision--language models (MVLMs) are increasingly used as perceptual backbones in radiology pipelines and as the visual front end of multimodal assistants, yet their reliability under real c...
Xiang Chen, Fangfang Yang, Chunlei Meng, Chengyin Hu, Ang Li, Yiwei Wei, Jiahuan Long, Jiujiang Guo
Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
Decentralized Federated Learning (DFL) remains highly vulnerable to adaptive backdoor attacks designed to bypass traditional passive defense metrics. To address this limitation, we shift the defens...
Sheng Pan, Niansheng Tang
When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making
Large language models (LLMs) are increasingly used for high-stakes decisions, yet their susceptibility to spurious features remains poorly characterized. We introduce ICE-Guard, a framework applyin...
Abhinaba Basu, Pavan Chakraborty
Wind accretion onto planets orbiting an evolving Solar-like star and their detectability
As stars evolve, they undergo significant changes in their physical properties, which can have a profound impact on the planets orbiting them. In particular, the mass lost through stellar wind may ...
P. Padilla-López, R. F. Maldonado, J. A. Toalá, E. Tejeda, J. B. Rodríquez-González
Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
Counting serves as a simple but powerful test of a Large Vision-Language Model's (LVLM's) reasoning; it forces the model to identify each individual object and then add them all up. In this study, ...
Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Michelle Hurst, Jacob Feldman, Ruixiang T...
A systematic search for physical associations between fast radio bursts and astrophysical transients
The physical origin of fast radio bursts (FRBs) remains an unsolved mystery in astrophysics, with the magnetar central engine model as the leading framework. Systematically searching for physical a...
Hao-Hao Chen, Wen-Tao Xu, Xin-Yu Liang, Ming-Xuan Lu, Can-Min Deng
Leveraging Large Language Models for Generalizing Peephole Optimizations
Peephole optimizations are a core component of modern optimizing compilers. It rewrites specific instruction into semantically equivalent but more efficient forms. In practice, creating a new peeph...
Chunhao Liao, Hongxu Xu, Xintong Zhou, Zhenyang Xu, Chengnian Sun
Modeling Adversarial Wildfires for Power Grid Disruption
Electric power infrastructure faces increasing risk of damage and disruption due to wildfire. Operators of power grids in wildfire-prone regions must consider the potential impacts of unpredictable...
Matthew Brun, Xu Andy Sun, Jean-Paul Watson
$d_{N Ω}$ production in $Ωd$ scattering process
In the present work, we propose to investigate the production of $d_{N Ω}$ in the $Ω^{-} d \rightarrow p d_{N Ω}^-$ process by utilizing an effective Lagrangian approach, where $d_{N Ω}$ is identif...
Quan-Yun Guo, Jing Liu, Dian-Yong Chen
Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching
Video-LLMs often attend to irrelevant frames, which is especially detrimental for sports coaching tasks requiring precise temporal grounding. Yet obtaining frame-level supervision is challenging: e...
Arushi Rai, Adriana Kovashka