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AI & Data Science Preprint PDF DOI

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems

Shanglin Wu, Yuyang Luo, Yueqing Liang, Kaiwen Shi, Yanfang Ye, Ali Payani, Kai Shu ยท 2026

Large language model (LLM) multi-agent systems can scale along two distinct dimensions: by increasing the number of agents and by improving through accumulated experience over time. Although prior worโ€ฆ

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AI & Data Science Preprint PDF DOI

Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark

Laura Pedrouzo-Rodriguez, Luis F. Gomez, Ruben Tolosana, Ruben Vera-Rodriguez, Roberto Daza, Aythami Morales, Julian Fierrez ยท 2026

Recent advances in photorealistic avatar generation have enabled highly realistic talking-head avatars, raising security concerns regarding identity impersonation in AI-mediated communication. To advaโ€ฆ

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AI & Data Science Preprint PDF DOI

Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model

Maria Kefala, Jeffery L. Painter, Syed Tauhid Bukhari, Maurizio Sessa ยท 2026

Background: The identification of optimal signal detection methods is hindered by the lack of reliable reference datasets. Existing datasets do not capture when adverse events (AEs) are officially recโ€ฆ

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AI & Data Science Preprint PDF DOI

CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

Jesse Barkley, Rumi Loghmani, Amir Barati Farimani ยท 2026

Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith,โ€ฆ

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AI & Data Science Preprint PDF DOI

Foundation Model for Cardiac Time Series via Masked Latent Attention

Moritz Vandenhirtz, Samuel Ruiperez-Campillo, Simon Bohi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt ยท 2026

Electrocardiograms (ECGs) are among the most widely available clinical signals and play a central role in cardiovascular diagnosis. While recent foundation models (FMs) have shown promise for learningโ€ฆ

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Computer Science Preprint PDF DOI

Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle

William Thorne, Rupert Shepherd, Diana Maynard ยท 2026

We present a reconstruction of UKRI's Gateway to Research (GtR) database that links funding opportunities to their resulting project proposals through panel meeting outcomes. Unlike existing work thatโ€ฆ

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AI & Data Science Preprint PDF DOI

Summarising mortality data with a time-dependent beta latent variable model

Pedro Menezes de Araujo, Isobel Claire Gormley, Thomas Brendan Murphy ยท 2026

Age-specific probabilities of death provide a snapshot of population mortality at the country level at a given point in time. Due to the high dimensionality of the data, summarising mortality informatโ€ฆ

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AI & Data Science Preprint PDF DOI

HINT: Composed Image Retrieval with Dual-path Compositional Contextualized Network

Mingyu Zhang, Zixu Li, Zhiwei Chen, Zhiheng Fu, Xiaowei Zhu, Jiajia Nie, Yinwei Wei, Yupeng Hu ยท 2026

Composed Image Retrieval (CIR) is a challenging image retrieval paradigm. It aims to retrieve target images from large-scale image databases that are consistent with the modification semantics, based โ€ฆ

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Physics Preprint PDF DOI

Hunting Structural Demons in Digital Reticular Chemistry: Lessons from Metal-Organic Frameworks

Yongchul G. Chung, Myoung Soo Lah ยท 2026

Digital reticular chemistry relies on accurate crystal structures to power computational screening, data-driven discovery, and structure-property analysis, yet recent studies reveal that more than halโ€ฆ

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AI & Data Science Preprint PDF DOI

SocialX: A Modular Platform for Multi-Source Big Data Research in Indonesia

Muhammad Apriandito Arya Saputra, Andry Alamsyah, Dian Puteri Ramadhani, Thomhert Suprapto Siadari, Hanif Fakhrurroja ยท 2026

Big data research in Indonesia is constrained by a fundamental fragmentation: relevant data is scattered across social media, news portals, e-commerce platforms, review sites, and academic databases, โ€ฆ

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Computer Science Preprint PDF DOI

EPDQ: Efficient and Privacy-Preserving Exact Distance Query on Encrypted Graphs

Xuemei Fu ยท 2026

With the explosive growth of graph-structured data, graph databases have become a critical infrastructure for supporting large-scale and complex data analysis. Among various graph operations, shortestโ€ฆ

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Engineering Preprint PDF DOI

Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM

Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi, Takanobu Doi, Kazushi Muraoka, Hideki Ochiai ยท 2026

This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for massive multi-user mulโ€ฆ

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Computer Science Preprint PDF DOI

Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving Retrieval-Augmented Generation

Xinyuan Zhu, Zekun Fei, Enye Wang, Ruiqi He, Zheli Liu ยท 2026

Retrieval-Augmented Generation (RAG) enhances the utility of Large Language Models (LLMs) by retrieving external documents. Since the knowledge databases in RAG are predominantly utilized via cloud seโ€ฆ

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Physics Preprint PDF DOI

ZEBRA-Prop: A Zero-Shot Embedding-Based Rapid and Accessible Regression Model for Materials Properties

Ryoma Yamamoto, Akira Takahashi, Kei Terayama, Yu Kumagai, Fumiyasu Oba ยท 2026

Large language models (LLMs) exhibit substantial potential across diverse scientific disciplines, including materials science. A property prediction framework, ZEBRA-Prop (Zero-Shot Embedding-Based Raโ€ฆ

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Computer Science Preprint PDF DOI

A Large-scale Empirical Study on the Generalizability of Disclosed Java Library Vulnerability Exploits

Zirui Chen, Qi Zhan, Jiayuan Zhou, Xing Hu, Xin Xia, Xiaohu Yang ยท 2026

Open-source software supply chain security relies heavily on assessing affected versions of library vulnerabilities. While prior studies have leveraged exploits for verifying vulnerability affected veโ€ฆ

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AI & Data Science Preprint PDF DOI

Bayesian Deep Count Regression and Anomaly Detection: Evidence from GDELT Event Panels

Hsin-Hsiung Huang, Yuh-Haur Chen, Mahlon Scott ยท 2026

The Global Database of Events, Language and Tone (GDELT) provides geolocated event records that can be aggregated into weekly spatiotemporal panels of event counts across regions, actors, and event tyโ€ฆ

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AI & Data Science Preprint PDF DOI

Assessing Reporting Delays in ACLED Conflict Event Data

Faniry A. Razakason, Daniel Racek, Paul W. Thurner, Goran Kauermann ยท 2026

Timely and accurate conflict event data are essential for real-time monitoring, forecasting, and policy response. Yet near-real-time conflict datasets such as the Armed Conflict Location \& Event Dataโ€ฆ

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Engineering Preprint PDF DOI

UPV_RIR_DB: A Structured Room Impulse Response Database with Hierarchical Metadata and Acoustic Indicators

Jesus Garcia-Gamborino, Laura Fuster, Daniel de la Prida, Luis A. Azpicueta-Ruiz, Gema Pinero ยท 2026

This paper presents UPV_RIR_DB, a structured database of measured room impulse responses (RIRs) designed to provide acoustic data with explicit spatial metadata and traceable acquisition parameters. Tโ€ฆ

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AI & Data Science Preprint PDF DOI

Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods

Ofer Idan, Vladi Vexler, Gil Lederman, Dima Sivov, Aviad Cohen Zada, Shir Niego Komforti ยท 2026

Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest neighbor search (ANNS)โ€ฆ

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AI & Data Science Preprint PDF DOI

Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments

Armand de Villeroche, Rem-Sophia Mouradi, Vincent Le Guen, Sibo Cheng, Marc Bocquet, Alban Farchi, Patrick Armand, Patrick Massin ยท 2026

Air flow modeling at a local scale is essential for applications such as pollutant dispersion modeling or wind farm modeling. To circumvent costly Computational Fluid Dynamics (CFD) computations, deepโ€ฆ

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