Papers
Research papers from arXiv and related sources
Combined thermographic measurement and heat-flux compensation methods for aerodynamic heating evaluation in hypersonic flight
Novel thermographic measurement and heat-flux compensation methods combined for evaluating aerodynamic heating in hypersonic flight were developed using high-speed thermography. A hypersonic spheri...
Kento Inokuma, Aiko Yakeno, Yoshiyuki Watanabe, Kiyonobu Ohtani
Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
Retrieval-Augmented Generation (RAG) significantly mitigates the hallucinations and domain knowledge deficiency in large language models by incorporating external knowledge bases. However, the mult...
Yanming Mu, Hao Hu, Feiyang Li, Qiao Yuan, Jiang Wu, Zichuan Liu, Pengcheng Liu, Mei Wang, Hongwe...
No Dense Tensors Needed: Fully Sparse Object Detection on Event-Camera Voxel Grids
Event cameras produce asynchronous, high-dynamic-range streams well suited for detecting small, fast-moving drones, yet most event-based detectors convert the sparse event stream into dense tensors...
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition
Multiple Object Tracking (MOT) has long been a fundamental task in computer vision, with broad applications in various real-world scenarios. However, due to distribution shifts in appearance, motio...
Wen Guo, Pengfei Zhao, Zongmeng Wang, Yufan Hu, Junyu Gao
4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
We introduce 4DGS360, a diffusion-free framework for 360$^{\circ}$ dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent 360$^{\circ}$ geo...
Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
Conditional Wasserstein GAN for Simulating Neutrino Event Summaries using Incident Energy of Electron Neutrinos
Event simulation for electron neutrino interactions plays a foundational role in precision measurements in particle physics experiments, yet the computational demand of traditional Monte Carlo meth...
Dipthi S., Kalyani Desikan
Improved cycling stability and lithium utilization in trilayer Al-LLZO revealed by Electrochemical cycling performance
Garnet-type Li$_{6.25}$Al$_{0.25}$La$_3$Zr$_2$O$_{12}$ (Al-LLZO) solid electrolytes are promising for all-solid-state batteries but are limited by interfacial resistance. In this work, dense and gr...
Naisargi Kanabar, Seiichiro Higashiya, Haralabos Efstathiadis
Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment
Recursive self-improvement--where a model iteratively trains on its own outputs--promises sustained capability growth but faces a fundamental obstacle: recursive drift. As models train on self-gene...
Xinyu Zhang
On the series expansion of the secondary zeta function about $s=1$ and its coefficients
The secondary zeta function is defined as a generalized zeta series over the imaginary parts of non-trivial zeros assuming (RH). This function admits Laurent series expansion at the double pole at ...
Artur Kawalec
PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models
Concept erasure techniques for text-to-video (T2V) diffusion models report substantial suppression of sensitive content, yet current evaluation is limited to checking whether the target concept is ...
Yiwei Xie, Zheng Zhang, Ping Liu
On the series expansion of the prime zeta function about $s=1$ and its coefficients
In this article, we derive a series expansion of the prime zeta function about the $s=1$ logarithmic singularity and prove general formula for its expansion coefficients, which is similar to the St...
Artur Kawalec
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection
Multimodal large language models (MLLMs) offer a promising path toward interpretable deepfake detection by generating textual explanations. However, the reasoning process of current MLLM-based meth...
Xinghan Li, Junhao Xu, Jingjing Chen
BOxCrete: A Bayesian Optimization Open-Source AI Model for Concrete Strength Forecasting and Mix Optimization
Modern concrete must simultaneously satisfy evolving demands for mechanical performance, workability, durability, and sustainability, making mix designs increasingly complex. Recent studies leverag...
Bayezid Baten, M. Ayyan Iqbal, Sebastian Ament, Julius Kusuma, Nishant Garg
SafePilot: A Framework for Assuring LLM-enabled Cyber-Physical Systems
Large Language Models (LLMs), deep learning architectures with typically over 10 billion parameters, have recently begun to be integrated into various cyber-physical systems (CPS) such as robotics,...
Weizhe Xu, Mengyu Liu, Fanxin Kong
Evaluating Power Flow Manifold from Local Data around a Single Operating Point via Geodesics
The widespread adoption of renewable energy poses a challenge in maintaining a feasible operating point in highly variable scenarios. This paper demonstrates that, within a feasible region of a pow...
Qirui Zheng, Dan Wu, Franz-Erich Wolter, Sijia Geng
Learning Inflation Narratives from Reddit: How Lightweight LLMs Reveal Forward-Looking Economic Signals
Public perceptions and expectations of inflation shape household spending, wage bargaining, and policy support, making them key determinants of macroeconomic outcomes. However, current measures rel...
Ryuichi Saito, Sho Tsugawa
Rydberg Atomic Receivers for Net-Zero 6G Wireless Communication and Sensing: Progress, Experiments, and Sustainable Prospects
Against the backdrop of the global drive to advance the green transformation of the information and communications technology (ICT) industry and leverage technological innovation to facilitate the ...
Yi Tao, Zhen Gao, Zhiao Zhu, De Mi, Zhonghuai Wu, Zijian Zhang, Fusang Zhang, Dezhi Zheng, Sheng ...
Effective Strategies for Asynchronous Software Engineering Agents
AI agents have become increasingly capable at isolated software engineering (SWE) tasks such as resolving issues on Github. Yet long-horizon tasks involving multiple interdependent subtasks still p...
Jiayi Geng, Graham Neubig
TagLLM: A Fine-Grained Tag Generation Approach for Note Recommendation
Large Language Models (LLMs) have shown promising potential in E-commerce community recommendation. While LLMs and Multimodal LLMs (MLLMs) are widely used to encode notes into implicit embeddings, ...
Zhijian Chen, Likai Wang, Lei Chen, Yaguang Dou, Jialiang Shi, Tian Qi, Dongdong Hao, Mengying Lu...
Beyond Correlation: Refutation-Validated Aspect-Based Sentiment Analysis for Explainable Energy Market Returns
This paper proposes a refutation-validated framework for aspect-based sentiment analysis in financial markets, addressing the limitations of correlational studies that cannot distinguish genuine as...
Wihan van der Heever, Keane Ong, Ranjan Satapathy, Erik Cambria