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320+ open-access research outputs.

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Computer Science Preprint PDF DOI

ViviDoc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Jiale Lao, Yue Cheng, Wei Chen ยท 2026

Interactive documents help readers engage with complex ideas through dynamic visualization, interactive animations, and exploratory interfaces. However, creating such documents remains costly, as it rโ€ฆ

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AI & Data Science Preprint PDF DOI

SRasP: Self-Reorientation Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

Wenqian Li, Pengfei Fang, Hui Xue ยท 2026

Cross-Domain Few-Shot Learning (CD-FSL) aims to transfer knowledge from a seen source domain to unseen target domains, serving as a key benchmark for evaluating the robustness and transferability of mโ€ฆ

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History & Literature Preprint PDF DOI

Portrait of the mathematician as a young man: Revisiting Trinity's Tayler picture

Alejandro Jenkins ยท 2026

A 17th-century oil painting by an unknown artist, once owned by the Tayler family and now in the collection of Trinity College, Cambridge, is currently identified as a portrait of a young Isaac Barrowโ€ฆ

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AI & Data Science Preprint PDF DOI

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

Rui Yang, Qianhui Wu, Zhaoyang Wang, Hanyang Chen, Ke Yang, Hao Cheng, Huaxiu Yao, Baoling Peng, Huan Zhang, Jianfeng Gao, Tong Zhang ยท 2026

Open-source native GUI agents still lag behind closed-source systems on long-horizon navigation tasks. This gap stems from two limitations: a shortage of high-quality, action-aligned reasoning data, aโ€ฆ

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AI & Data Science Preprint PDF DOI

Out-of-Distribution Radar Detection with Complex VAEs: Theory, Whitening, and ANMF Fusion

Yadang Alexis Rouzoumka, Jean Pinsolle, Eugenie Terreaux, Christele Morisseau, Jean-Philippe Ovarlez, Chengfang Ren ยท 2026

We investigate the detection of weak complex-valued signals immersed in non-Gaussian, range-varying interference, with emphasis on maritime radar scenarios. The proposed methodology exploits a Complexโ€ฆ

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Physics Preprint PDF DOI

The intermediate neutron capture process. VI. Proton ingestion and i-process in rotating magnetic asymptotic giant branch stars

A. Choplin, L. Siess, S. Goriely, P. Eggenberger, F. D. Moyano ยท 2026

The intermediate neutron-capture process (i-process) can occur during proton ingestion events (PIEs), which may take place in the early evolutionary phases of asymptotic giant branch (AGB) stars. We iโ€ฆ

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Physics Preprint PDF DOI

Complex dynamical regimes of the Tayler-Spruit dynamo

Paul Barrere, Jerome Guilet, Basile Gallet, Raphael Raynaud ยท 2026

Astrophysical dynamos feature various spatial structures and dynamical regimes, ranging from hemispherical magnetic fields to the random reversals of the geodynamo. The recently observed Tayler-Spruitโ€ฆ

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Physics Preprint PDF DOI

New branch of the Tayler-Spruit dynamo in stellar radiative zones

Paul Barrere, Alexis Reboul-Salze, Patrick Eggenberger, Sebastien Deheuvels, Carolina Rodriguez, Maxime Marchand ยท 2026

The recent asteroseismic observations constitute a great challenge for rotating stellar evolution models, which predict too fast internal rotation rates when only hydrodynamic processes are included. โ€ฆ

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Physics Preprint PDF DOI

The transport of angular momentum for massive stars I. Formation of slowly rotating WNE stars

Jijuan Si, Yan Li, Xue-Feng Li, Zhi Li ยท 2025

The evolutionary scenario of early-type nitrogen-sequence Wolf-Rayet (WNE) stars predicts a slowly rotating subclass that typically forms after the red supergiant (RSG) phase. Their slow rotation rateโ€ฆ

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AI & Data Science Preprint PDF DOI

High dimensional matrix estimation through elliptical factor models

Xinyue Xu, Huifang Ma, Hongfei Wang, Long Feng ยท 2025

Elliptical factor models play a central role in modern high-dimensional data analysis, particularly due to their ability to capture heavy-tailed and heterogeneous dependence structures. Within this frโ€ฆ

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AI & Data Science Preprint PDF DOI

SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains

Qingmei Li, Yang Zhang, Peifeng Zhang, Haohuan Fu, Juepeng Zheng ยท 2025

Domain generalization for semantic segmentation aims to mitigate the degradation in model performance caused by domain shifts. However, in many real-world scenarios, we are unable to access the model โ€ฆ

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Physics Preprint PDF DOI

Asteroseismic detection of a predominantly toroidal magnetic field in the deep interior of the main-sequence F star KIC 9244992

Masao Takata, Simon J. Murphy, Donald W. Kurtz, Hideyuki Saio, Hiromoto Shibahashi ยท 2025

An asteroseismic analysis has revealed a magnetic field in the deep interior of a slowly-rotating main-sequence F star KIC9244992, which was observed by the Kepler spacecraft for four years. The star โ€ฆ

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Engineering Preprint PDF DOI

Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter

Y. A. Rouzoumka, E. Terreaux, C. Morisseau, J.-P. Ovarlez, C. Ren ยท 2025

We investigate complex-valued Variational AutoEncoders (CVAE) for radar Out-Of-Distribution (OOD) detection in complex radar environments. We proposed several detection metrics: the reconstruction errโ€ฆ

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AI & Data Science Preprint PDF DOI

UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network

Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le, Ching-Chun Huang ยท 2025

The appearance of ultrasound images varies across acquisition devices, causing domain shifts that degrade the performance of fixed black-box downstream inference models when reused. To mitigate this iโ€ฆ

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Physics Preprint PDF DOI

Co-existence of Internal Gravity Waves and Tayler-Spruit Magnetic Fields in the Radiative Core of Low-mass Stars

L. Amard, S. Mathis ยท 2025

The Tayler-Spruit dynamo (TSD) is able to generate a small-scale magnetic field in the differentially rotating stably stratified layers of stars and was recently observed in numerical simulations. In โ€ฆ

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Mathematics Preprint PDF DOI

Optimal Bounds for Tyler's M-Estimator for Elliptical Distributions

Lap Chi Lau, Akshay Ramachandran ยท 2025

A fundamental problem in statistics is estimating the shape matrix of an Elliptical distribution. This generalizes the familiar problem of Gaussian covariance estimation, for which the sample covarianโ€ฆ

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AI & Data Science Preprint PDF DOI

Instructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?

R. Alexander Knipper, Indrani Dey, Souvika Sarkar, Hari Narayanan, Sadhana Puntambekar, Santu Karmaker ยท 2025

Virtual Labs offer valuable opportunities for hands-on, inquiry-based science learning, yet teachers often struggle to adapt them to fit their instructional goals. Third-party materials may not align โ€ฆ

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AI & Data Science Preprint PDF DOI

Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models

Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio ยท 2025

Inductive link prediction is emerging as a key paradigm for real-world knowledge graphs (KGs), where new entities frequently appear and models must generalize to them without retraining. Predicting liโ€ฆ

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AI & Data Science Preprint PDF DOI

Optimal and Efficient Sample Size Re-estimation: A Dynamic Cost Framework

Rui Jin, Cai Wu, Qiqi Deng ยท 2025

Adaptive sample size re-estimation (SSR) is a well-established strategy for improving the efficiency and flexibility of clinical trials. Its central challenge is determining whether, and by how much, โ€ฆ

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Physics Preprint PDF DOI

Impact of rotation on magnetic field stability and orientation in isolated neutron stars

Fabrizio Venturi Pinas, Anson Ka Long Yip, Patrick Chi-Kit Cheong, Milton Ruiz ยท 2025

Neutron stars are the most compact horizonless objects in the Universe, exhibiting the strongest known magnetic fields. They are potential sources of coincident gravitational waves and electromagneticโ€ฆ

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