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Showing 34746 results for "databases"
AI & Data Science Preprint PDF DOI

TOSSS: a CVE-based Software Security Benchmark for Large Language Models

Marc Damie, Murat Bilgehan Ertan, Domenico Essoussi, Angela Makhanu, Gaetan Peter, Roos Wensveen ยท 2026

With their increasing capabilities, Large Language Models (LLMs) are now used across many industries. They have become useful tools for software engineers and support a wide range of development tasksโ€ฆ

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Engineering Preprint PDF DOI

An Atlas of Extreme Properties in Cubic Symmetric Metamaterials

Sahar Choukir, Nirosh Manohara, Chandra Veer Singh ยท 2026

Current research on three-dimensional metamaterial has largely focused on conventional strut, plate, and shell-based lattice designs. Although these designs offer several advantages, they possess inheโ€ฆ

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AI & Data Science Preprint PDF DOI

Redefining shared information: a heterogeneity-adaptive framework for meta-analysis

Elizabeth M. Davis, Emily C. Hector ยท 2026

Meta-analytic methods tend to take all-or-nothing approaches to study-level heterogeneity, assuming all studies are heterogeneous or homogeneous, leading to inefficiency and/or bias in estimation and โ€ฆ

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Computer Science Preprint PDF DOI

A Disguise-and-Squeeze PIR Scheme for the MDS-TPIR Setting and Beyond

Rui Sun, Ran Tao, Jingke Xu, Yiwei Zhang ยท 2026

We consider the problem of private information retrieval (PIR) from MDS coded databases with colluding servers, i.e., MDS-TPIR. In the MDS-TPIR setting, $M$ files are stored across $N$ servers, where โ€ฆ

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Computer Science Preprint PDF DOI

RAGPerf: An End-to-End Benchmarking Framework for Retrieval-Augmented Generation Systems

Shaobo Li, Yirui Zhou, Yuan Xu, Kevin Chen, Daniel Waddington, Swaminathan Sundararaman, Hubertus Franke, Jian Huang ยท 2026

We present the design and implementation of a RAG-based AI system benchmarking (RAGPerf) framework for characterizing the system behaviors of RAG pipelines. To facilitate detailed profiling and fine-gโ€ฆ

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Computer Science Preprint PDF DOI

EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolution

Tianshu Zhang, Kun Qian, Siddhartha Sahai, Yuan Tian, Shaddy Garg, Huan Sun, Yunyao Li ยท 2026

Neural text-to-SQL models, which translate natural language questions (NLQs) into SQL queries given a database schema, have achieved remarkable performance. However, database schemas frequently evolveโ€ฆ

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Computer Science Preprint PDF DOI

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation

Mingwei Ye, Jiaxi Zhuang, Mingjun Xu, Linfeng Zhang, Guolin Ke, Hengxing Cai ยท 2026

Natural Language to MongoDB Query Language (NL2MQL) is essential for democratizing access to modern document-centric databases. Unlike Text-to-SQL, NL2MQL faces unique challenges from MQL's proceduralโ€ฆ

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AI & Data Science Preprint PDF DOI

Spatio-Temporal Forecasting of Retaining Wall Deformation: Mitigating Error Accumulation via Multi-Resolution ConvLSTM Stacking Ensemble

Jihoon Kim, Heejung Youn (Department of Civil, Environmental Engineering, Hongik University, Seoul, Republic of Korea) ยท 2026

This study proposes a multi-resolution Convolutional Long Short-Term Memory (ConvLSTM) ensemble framework that leverages diverse temporal input resolutions to mitigate error accumulation and improve lโ€ฆ

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AI & Data Science Preprint PDF DOI

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling

Nicholas I-Hsien Kuo, Marzia Hoque Tania, Blanca Gallego, Louisa Jorm ยท 2026

In recent years, progress in medical informatics and machine learning has been accelerated by the availability of openly accessible benchmark datasets. However, patient-level electronic medical recordโ€ฆ

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AI & Data Science Preprint PDF DOI

Phonological Fossils: Machine Learning Detection of Non-Mainstream Vocabulary in Sulawesi Basic Lexicon

Mukhlis Amien, Go Frendi Gunawan ยท 2026

Basic vocabulary in many Sulawesi Austronesian languages includes forms resisting reconstruction to any proto-form with phonological patterns inconsistent with inherited roots, but whether this non-coโ€ฆ

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Computer Science Preprint PDF DOI

Conversational AI-Enhanced Exploration System to Query Large-Scale Digitised Collections of Natural History Museums

Yiyuan Wang, Andrew Johnston, Zoe Sadokierski, Rhiannon Stephens, Shane T. Ahyong ยท 2026

Recent digitisation efforts in natural history museums have produced large volumes of collection data, yet their scale and scientific complexity often hinder public access and understanding. Conventioโ€ฆ

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Computer Science Preprint PDF DOI

WME: Extending CDCL-based Model Enumeration with Weights

Giuseppe Spallitta, Moshe Y. Vardi ยท 2026

In this work we investigate Weighted Model Enumeration (WME): given a Boolean formula and a weight function over its satisfying assignments, enumerate models while accounting for their weights. This sโ€ฆ

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AI & Data Science Preprint PDF DOI

Agentic Control Center for Data Product Optimization

Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Faisal Chowdhury, Horst Samulowitz ยท 2026

Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL pairs which can be answered using the data or views over the databโ€ฆ

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Computer Science Preprint PDF DOI

How to Write to SSDs

Bohyun Lee, Tobias Ziegler, Viktor Leis ยท 2026

This paper demonstrates that adopting out-of-place writes is essential for database systems to fully leverage SSD performance and extend SSD lifespan. We propose a set of out-of-place optimizations thโ€ฆ

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Computer Science Preprint PDF DOI

MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations

Abhishikth Mallampalli, Sridhara Dasu ยท 2026

Large-scale scientific collaborations, such as the Compact Muon Solenoid (CMS) at CERN, produce a vast and ever-growing corpus of internal documentation. Navigating this complex information landscape โ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluation of LLMs in retrieving food and nutritional context for RAG systems

Maks Pozarnik Vavken, Matevz Ogrinc, Tome Eftimov, Barbara Korousic Seljak ยท 2026

In this article, we evaluate four Large Language Models (LLMs) and their effectiveness at retrieving data within a specialized Retrieval-Augmented Generation (RAG) system, using a comprehensive food cโ€ฆ

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AI & Data Science Preprint PDF DOI

Build, Borrow, or Just Fine-Tune? A Political Scientist's Guide to Choosing NLP Models

Shreyas Meher ยท 2026

Political scientists increasingly face a consequential choice when adopting natural language processing tools: build a domain-specific model from scratch, borrow and adapt an existing one, or simply fโ€ฆ

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Computer Science Preprint PDF DOI

Enabling Multi-Client Authorization in Dynamic SSE

Seydina Ousmane Diallo, Maryline Laurent, Nesrine Kaaniche ยท 2026

Outsourcing encrypted data to the cloud creates a fundamental tension between data privacy and functional searchability. Current Searchable Symmetric Encryption (SSE) solutions frequently have signifiโ€ฆ

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Computer Science Preprint PDF DOI

CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?

Xiangsen Chen, Xuan Feng, Shuo Chen, Matthieu Maitre, Sudipto Rakshit, Diana Duvieilh, Ashley Picone, Nan Tang ยท 2026

Analyzing Open Source Intelligence (OSINT) from large volumes of data is critical for drafting and publishing comprehensive CTI reports. This process usually follows a three-stage workflow -- triage, โ€ฆ

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Computer Science Preprint PDF DOI

Categorical Calculus and Algebra for Multi-Model Data

Jiaheng Lu (University of Helsinki) ยท 2026

Multi-model databases are designed to store, manage, and query data in various models, such as relational, hierarchical, and graph data, simultaneously. In this paper, we provide a theoretical basis โ€ฆ

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