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AI & Data Science Preprint PDF DOI

Exploring Interaction Paradigms for LLM Agents in Scientific Visualization

Jackson Vonderhorst, Kuangshi Ai, Haichao Miao, Shusen Liu, Chaoli Wang · 2026

This paper examines how different types of large language model (LLM) agents perform on scientific visualization (SciVis) tasks, where users generate visualization workflows from natural-language inst…

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AI & Data Science Preprint PDF DOI

FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting

Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Xiuying Chen · 2026

Despite the rapid progress of large vision-language models (LVLMs), fine-grained, state-conditioned GUI interaction remains challenging. Current evaluations offer limited coverage, imprecise target-st…

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AI & Data Science Preprint PDF DOI

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo · 2026

Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone canno…

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Sociology & Anthropology Preprint PDF DOI

Scale-freeness under node removal: a finite-size scaling perspective

Yeonsu Jeong, Deok-Sun Lee, Mi Jin Lee, Seung-Woo Son · 2026

In heterogeneous network systems such as ecological and social networks, structural stability depends on how connectivity changes under node removal, as different removal sequences can trigger distinc…

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AI & Data Science Preprint PDF DOI

WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments

Jinchao Li, Yunxin Li, Chenrui Zhao, Zhenran Xu, Baotian Hu, Min Zhang · 2026

While GUI agents have shown impressive capabilities in common computer-use tasks such as OSWorld, current benchmarks mainly focus on isolated and single-application tasks. This overlooks a critical re…

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AI & Data Science Preprint PDF DOI

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness

Hiroyuki Deguchi, Katsuki Chousa, Yusuke Sakai · 2026

The hubness problem, in which hub embeddings are close to many unrelated examples, occurs often in high-dimensional embedding spaces and may pose a practical threat for purposes such as information re…

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AI & Data Science Preprint PDF DOI

FUN: A Focal U-Net Combining Reconstruction and Object Detection for Snapshot Spectral Imaging

Dahua Gao, Yubo Dong, Anqi Li, Zhenyuan Lin, Ang Gao, Danhua Liu, Guangming Shi · 2026

Conventional push-broom hyperspectral imaging suffers from slow acquisition speeds, precluding real-time object detection; in contrast, snapshot spectral imaging enables instantaneous hyperspectral im…

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Engineering Preprint PDF DOI

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction

Yongpeng Cao, Masahiro Hirano, Hyuno Kim, Yuji Yamakawa · 2026

Understanding human actions is critical for advancing behavior analysis in human-robot interaction. Particularly in tasks that demand quick and proactive feedback, robots must recognize human actions …

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Mathematics Preprint PDF DOI

An improved non-linear Roth-type theorem in finite fields

Mark Lewko · 2026

Let $F$ be a finite field of odd characteristic. We prove that any set $A\subset F$ with $|A|\geq C|F|^{5/6}$ contains a nontrivial quadratic progression $(x, x+y, x+y^2), y\neq 0.$ For prime fields, …

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AI & Data Science Preprint PDF DOI

Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

Mengfei Zhang, Jinlu Zhang, Zhigang Tu · 2026

Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing works have achieved …

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Physics Preprint PDF DOI

First Detection of Faraday Rotation in a Gamma-Ray Burst Afterglow: Low Polarization and High Rotation Measure in GRB 260310A Reveal Jet Magnetic Structure and Environment

Collin T. Christy, Tanmoy Laskar, Kate D. Alexander, Noah Franz, Jonathan Granot, Ryan Chornock, Raffaella Margutti, Ramandeep Gill, Jeniveve Pearson, Edo Berger, Wen-fai Fong, Coleman Rohde, Patricia Schady · 2026

We report the detection of linear polarization in the radio afterglow of GRB 260310A, representing the first centimeter-wavelength polarization detection of a gamma-ray burst (GRB) afterglow and the f…

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Engineering Preprint PDF DOI

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

Tengya Zhang, Feng Gao, Lin Qi, Junyu Dong, Qian Du · 2026

Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limited…

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Engineering Preprint PDF DOI

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

Chuanzheng Gong, Feng Gao, Junyan Lin, Junyu Dong, Qian Du · 2026

Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two major…

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AI & Data Science Preprint PDF DOI

Step-level Optimization for Efficient Computer-use Agents

Jinbiao Wei, Kangqi Ni, Yilun Zhao, Guo Gan, Arman Cohan · 2026

Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-s…

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Physics Preprint PDF DOI

Dwarf Galaxies Hosting Extreme Star-Forming Regions and (Variable) AGNs at Radio Wavelengths

John-Michael Eberhard, Amy E. Reines · 2026

We present a detailed study of radio-detected dwarf galaxies (with stellar masses less than 3 billion solar masses) to characterize extreme star formation and search for (variable) radio AGNs. Our sam…

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AI & Data Science Preprint PDF DOI

Cross-Domain Transfer of Hyperspectral Foundation Models

Nick Theisen, Peer Neubert · 2026

Hyperspectral imaging (HSI) semantic segmentation typically relies on in-domain training, but limited data availability often restricts model performance in real-world applications. Current approaches…

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Computer Science Preprint PDF DOI

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation

Yibiao Wei, Jie Zou, Pengfei Zhang, Xiao Ao, Weikang Guo, Zeyu Ma, Yang Yang · 2026

Generative recommendation frameworks typically represent items as discrete Semantic IDs (SIDs). While existing studies have sought to enhance SID construction by incorporating multimodal content, coll…

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AI & Data Science Preprint PDF DOI

High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification

Boxiang Yang, Ning Chen, Xia Yue, Yichang Luo, Yingbo Fan, Haoyuan Zhang, Haoyu Ma, Jun Yue, Shanjun Mao · 2026

Recently, Hyperspectral Image (HSI) classification has attracted increasing attention in remote sensing. However, HSI data are inherently high-dimensional but low-rank, with discriminative information…

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AI & Data Science Preprint PDF DOI

HOI-aware Adaptive Network for Weakly-supervised Action Segmentation

Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan · 2026

In this paper, we propose an HOI-aware adaptive network named AdaAct for weakly-supervised action segmentation. Most existing methods learn a fixed network to predict the action of each frame with the…

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AI & Data Science Preprint PDF DOI

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

Mohammed Q. Alkhatib, Ali Jamali · 2026

Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing detailed, continuous spe…

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