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Computer Science Preprint PDF DOI

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns

Kai Gao, Yu Sun, Chang-ai Sun · 2026

Template engines are indispensable components in modern software ecosystems, enabling the generation of structured documents and scripts across domains such as web development, Infrastructure as Code,…

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Computer Science Preprint PDF DOI

HAVEN: Hybrid Automated Verification ENgine for UVM Testbench Synthesis with LLMs

Chang-Chih Meng, Yu-Ren Lu, Guan-Yu Lin, Tsung Tai Yeh, Kai-Chiang Wu, I-Chen Wu · 2026

Integrated Circuit (IC) verification consumes nearly 70% of the IC development cycle, and recent research leverages Large Language Models (LLMs) to automatically generate testbenches and reduce verifi…

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Physics Preprint PDF DOI

SVOM/C-GFT: Instrumentation and Performances on the SVOM Alerts

Chao Wu, Zhe Kang, Xiao-Meng Lu, Xu-Hui Han, Li-Ping Xin, Pin-Pin Zhang, You Lv, Cheng-Wei Zhu, Ruo-Son Zhang, Jin-Song Deng, Yu-Lei Qiu, Mao-Hai Huang, Hong-Bo Cai, Hai-Bo Hu, Lei Huang, Lei Jia, Yu Luo, Jing Wang, Mo Zhang, Si-Cheng Zou, Zhen-Wei Li, Cheng-Zhi Liu, Jian-Yan Wei · 2026

The Chinese Ground Follow-up Telescope (C-GFT) is an optical facility upgraded to support the Space Variable Objects Monitor mission (\textit{SVOM}). Located at the Jilin Observation Station, it is ca…

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Mathematics Preprint PDF DOI

On the Cauchy problem for the multi-dimensional compressible Navier-Stokes-Korteweg system: Global strong solutions with arbitrarily large initial data

Xiangdi Huang, Muxi Lei, Huitao Zhou · 2026

Since the pioneering work of Korteweg (1901) and the subsequent refinement of capillary fluid models by Dunn and Serrin (1985), the global existence of strong solutions to the multi-dimensional compre…

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Mathematics Preprint PDF DOI

Invariant measures for the open KPZ equation: the Gaussian case

James Bona-Landry · 2026

In [arXiv:2409.08465], Quastel and Gu use Stein's equation and integration by parts to give a direct proof that drifted Brownian motions are stationary (modulo height shifts) for the full-line KPZ equ…

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AI & Data Science Preprint PDF DOI

Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations

Jie Zhu, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Jinsong Su, Chi Zhang, Fang Kong · 2026

Emotional Support Conversation (ESC) aims to assist individuals experiencing distress by generating empathetic and supportive dialogue. While prior work typically assumes that each supporter turn corr…

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Mathematics Preprint PDF DOI

On Spielman's Laplacian Eigenratio Conjecture and Related Problems

Jie Ma, Quanyu Tang, Yuchang Wang, Zhiheng Zheng · 2026

Let $G$ be an $n$-vertex graph with Laplacian eigenvalues $0=\lambda_1(G)\le \lambda_2(G)\le\cdots\le \lambda_n(G)$. Motivated by the Alon-Boppana bound and the Ramanujan phenomenon for regular graphs…

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Computer Science Preprint PDF DOI

Hierarchical Codec Diffusion for Video-to-Speech Generation

Jiaxin Ye, Gaoxiang Cong, Chenhui Wang, Xin-Cheng Wen, Zhaoyang Li, Boyuan Cao, Hongming Shan · 2026

Video-to-Speech (VTS) generation aims to synthesize speech from a silent video without auditory signals. However, existing VTS methods disregard the hierarchical nature of speech, which spans coarse s…

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AI & Data Science Preprint PDF DOI

StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation

Geonhui Jang, Dongyoon Han, YoungJoon Yoo · 2026

Effective code generation requires both model capability and a problem representation that carefully structures how models reason and plan. Existing approaches augment reasoning steps or inject specif…

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AI & Data Science Preprint PDF DOI

VDPP: Video Depth Post-Processing for Speed and Scalability

Daewon Yoon, Injun Baek, Sangyu Han, Yearim Kim, Nojun Kwak · 2026

Video depth estimation is essential for providing 3D scene structure in applications ranging from autonomous driving to mixed reality. Current end-to-end video depth models have established state-of-t…

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AI & Data Science Preprint PDF DOI

CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control

Qing Guo, Xinhang Li, Junyu Chen, Zheng Guo, Shengzhe Xu, Lin Zhang, Lei Li · 2026

Traffic signal control (TSC) is a core component of intelligent transportation systems (ITS), aiming to reduce congestion, emissions, and travel time. Recent approaches based on reinforcement learning…

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Computer Science Preprint PDF DOI

Bridging the Language Gap in Scholarly Data I: Enhancing Author Disambiguation Algorithms for Chinese Names

Mingrong She, Liuhuaying Yang, Ana Maria Jaramillo, Lisette Espin-Noboa · 2026

Disambiguating scholars with identical names is essential for accurate authorship assignment and robust large-scale scientometric research. Existing methods are often designed for Latin-script metadat…

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AI & Data Science Preprint PDF DOI

NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting

Prasanjit Dey, Soumyabrata Dev, Angela Meyer, Bianca Schoen-Phelan · 2026

Accurate air quality forecasting is crucial for protecting public health and guiding environmental policy, yet it remains challenging due to nonlinear spatiotemporal dynamics, wind-driven transport, a…

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AI & Data Science Preprint PDF DOI

Humans vs Vision-Language Models: A Unified Measure of Narrative Coherence

Nikolai Ilinykh, Hyewon Jang, Shalom Lappin, Asad Sayeed, Sharid Loaiciga · 2026

We study narrative coherence in visually grounded stories by comparing human-written narratives with those generated by vision-language models (VLMs) on the Visual Writing Prompts corpus. Using a set …

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AI & Data Science Preprint PDF DOI

Cascade-Free Mandarin Visual Speech Recognition via Semantic-Guided Cross-Representation Alignment

Lei Yang, Yi He, Fei Wu, Shilin Wang · 2026

Chinese mandarin visual speech recognition (VSR) is a task that has advanced in recent years, yet still lags behind the performance on non-tonal languages such as English. One primary challenge arises…

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Mathematics Preprint PDF DOI

The ergodic theory of SPDEs in a weak-noise regime

Mathew Joseph, Davar Khoshnevisan, Kunwoo Kim, Carl Mueller · 2026

Consider a parabolic SPDE \[ \partial_t u = \Delta u + \sigma(u)\eta, \] on $(0\,,\infty)\times\mathbb{R}^d$, where $\eta$ is a centered, generalized Gaussian noise with $\text{Cov}[\eta(t\,,x)\…

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Computer Science Preprint PDF DOI

MOSS-TTS Technical Report

Yitian Gong, Botian Jiang, Yiwei Zhao, Yucheng Yuan, Kuangwei Chen, Yaozhou Jiang, Cheng Chang, Dong Hong, Mingshu Chen, Ruixiao Li, Yiyang Zhang, Yang Gao, Hanfu Chen, Ke Chen, Songlin Wang, Xiaogui Yang, Yuqian Zhang, Kexin Huang, ZhengYuan Lin, Kang Yu, Ziqi Chen, Jin Wang, Zhaoye Fei, Qinyuan Cheng, Shimin Li, Xipeng Qiu · 2026

This technical report presents MOSS-TTS, a speech generation foundation model built on a scalable recipe: discrete audio tokens, autoregressive modeling, and large-scale pretraining. Built on MOSS-Aud…

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AI & Data Science Preprint PDF DOI

Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment

Gongzheng Tang, Qinghao Zhao, Guangkun Nie, Yujie Xiao, Shijia Geng, Donglin Xie, Shun Huang, Deyun Zhang, Xingchen Yao, Jinwei Wang, Kangyin Chen, Luxia Zhang, Shenda Hong · 2026

Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidney disease and heart failure, yet frequent monitoring remains difficult outside hospital settings. W…

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Mathematics Preprint PDF DOI

Spatial covariance of KPZ from flat initial profile

Le Chen, Juan J. Jimenez · 2026

We study the fixed-time spatial covariance of the KPZ equation with flat initial profile. Using Malliavin calculus and a Clark-Ocone representation, we show that as $|x|\to\infty$, $\mathrm{Cov}[h(t,x…

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Neuroscience Preprint PDF DOI

Towards unified brain-to-text decoding across speech production and perception

Zhizhang Yuan, Yang Yang, Gaorui Zhang, Baowen Cheng, Zehan Wu, Yuhao Xu, Xiaoying Liu, Liang Chen, Ying Mao, Meng Li · 2026

Speech production and perception are the main ways humans communicate daily. Prior brain-to-text decoding studies have largely focused on a single modality and alphabetic languages. Here, we present a…

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