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Showing 34746 results for "databases"
Computer Science Preprint PDF DOI

GeoBenchr: An Application-Centric Benchmarking Suite for Spatiotemporal Database Platforms

Tim C. Rese, Nils Japke, Diana Baumann, Natalie Carl, David Bermbach ยท 2026

The rapid growth of spatiotemporal data volumes needs to be handled by database systems capable of efficiently managing and querying such data. Existing systems such as PostGIS, SpaceTime, and Mobilitโ€ฆ

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Computer Science Preprint PDF DOI

TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA

Mengwei Yuan, Jianan Liu, Jing Yang, Xianyou Li, Weiran Yan, Yichao Wu, Penghao Liang ยท 2026

Large Language Model (LLM) has exhibited strong reasoning ability in text-based contexts across various domains, yet the limitation of context window poses challenges for the model on long-range inferโ€ฆ

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AI & Data Science Preprint PDF DOI

Proxy-Guided Measurement Calibration

Saketh Vishnubhatla, Shu Wan, Andre Harrison, Adrienne Raglin, Huan Liu ยท 2026

Aggregate outcome variables collected through surveys and administrative records are often subject to systematic measurement error. For instance, in disaster loss databases, county-level losses reportโ€ฆ

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Computer Science Preprint PDF DOI

ZipPIR: High-throughput Single-server PIR without Client-side Storage

Rasoul Akhavan Mahdavi, Abdulrahman Diaa, Florian Kerschbaum ยท 2026

Private Information Retrieval (PIR) allows a client to privately access a database without revealing which element is accessed. Initial PIR protocols based on Ring Learning with Errors (RLWE) demonstrโ€ฆ

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Computer Science Preprint PDF DOI

Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor

Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri ยท 2026

Index tuning is critical for the performance of modern database systems. Industrial index tuners, such as the Database Tuning Advisor (DTA) developed for Microsoft SQL Server, rely on the "what-if" APโ€ฆ

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AI & Data Science Preprint PDF DOI

DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering

Tong Wang, Chi Jin, Yongkang Chen, Huan Deng, Xiaohui Kuang, Gang Zhao ยท 2026

Table Question Answering (TableQA) enables natural language interaction with structured tabular data. However, existing large language model (LLM) approaches face critical limitations: context length โ€ฆ

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AI & Data Science Preprint PDF DOI

Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations

Yuheng Wang, Yuji Lin, Jiayue Cai, Z. Jane Wang, Tim K. Lee ยท 2026

Medical image retrieval aims to identify clinically relevant lesion cases to support diagnostic decision making, education, and quality control. In practice, retrieval queries often combine a referencโ€ฆ

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Computer Science Preprint PDF DOI

OptBench: An Interactive Workbench for AI/ML-SQL Co-Optimization[Extended Demonstration Proposal]

Jaykumar Tandel, Douglas Oscarson, Jia Zou ยท 2026

Database workloads are increasingly nesting artificial intelligence (AI) and machine learning (ML) pipelines and AI/ML model inferences with data processing, yielding hybrid SQL+AI/ML queries that mixโ€ฆ

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Physics Preprint PDF DOI

Experimental Challenges in Determining Heat Transfer Efficiency Scaling in Highly Turbulent Cryogenic Rayleigh-Benard Convection

P. Urban, V. Musilova, P. Hanzelka, T. Kralik, M. Macek, L. Skrbek ยท 2026

Cryogenic Rayleigh-Benard convection (RBC) at very high Rayleigh numbers (Ra) serves as a key system for understanding buoyancy-driven industrial and large scale natural flows and for testing theoriesโ€ฆ

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Computer Science Preprint PDF DOI

TUMSphere: Turning a University Curriculum into Playable VR Challenges

Santiago Berrezueta-Guzman, Nadia Damianova, Andrei Koshelev, Ivan Parmacli, Stefan Wagner ยท 2026

Traditional university orientation formats struggle to convey the intellectual substance of STEM curricula, particularly in disciplines where core competencies, such as algorithmic thinking and formalโ€ฆ

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Physics Preprint PDF DOI

Homogenization of the Stetson Photometry with the BEST Database

Zhirui Li, Bowen Huang, Kai Xiao, Haibo Yuan, Yang Huang, Dongwei Fan, Mingyang Ma, Tao Wang ยท 2026

As one of the most widely recognized high-quality standard stars, the Stetson standards have been extensively used as a photometric reference for calibrating other surveys. In this work, we present anโ€ฆ

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AI & Data Science Preprint PDF DOI

Enhancing Cross-View UAV Geolocalization via LVLM-Driven Relational Modeling

Bowen Liu, Pengyue Jia, Wanyu Wang, Derong Xu, Jiawei Cheng, Jiancheng Dong, Xiao Han, Zimo Zhao, Chao Zhang, Bowen Yu, Fangyu Hong, Xiangyu Zhao ยท 2026

The primary objective of cross-view UAV geolocalization is to identify the exact spatial coordinates of drone-captured imagery by aligning it with extensive, geo-referenced satellite databases. Currenโ€ฆ

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Computer Science Preprint PDF DOI

Samyama: A Unified Graph-Vector Database with In-Database Optimization, Agentic Enrichment, and Hardware Acceleration

Madhulatha Mandarapu, Sandeep Kunkunuru ยท 2026

Modern data architectures are fragmented across graph databases, vector stores, analytics engines, and optimization solvers, resulting in complex ETL pipelines and synchronization overhead. We presentโ€ฆ

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Computer Science Preprint PDF DOI

SafarDB: FPGA-Accelerated Distributed Transactions via Replicated Data Types

Javad Saberlatibari, Prithviraj Yuvaraj, Mohsen Lesani, Philip Brisk, Mohammad Sadoghi ยท 2026

Data replication is a critical aspect of data center design, as it ensures high availability, scalability, and fault tolerance. However, replicas need to be coordinated to maintain convergence and datโ€ฆ

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AI & Data Science Preprint PDF DOI

Amortizing Maximum Inner Product Search with Learned Support Functions

Theo X. Olausson, Joao Monteiro, Michal Klein, Marco Cuturi ยท 2026

Maximum inner product search (MIPS) is a crucial subroutine in machine learning, requiring the identification of key vectors that align best with a given query. We propose amortized MIPS: a learning-bโ€ฆ

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AI & Data Science Preprint PDF DOI

OSExpert: Computer-Use Agents Learning Professional Skills via Exploration

Jiateng Liu, Zhenhailong Wang, Rushi Wang, Bingxuan Li, Jeonghwan Kim, Aditi Tiwari, Pengfei Yu, Denghui Zhang, Heng Ji ยท 2026

General-purpose computer-use agents have shown impressive performance across diverse digital environments. However, our new benchmark, OSExpert-Eval, indicates they remain far less helpful than human โ€ฆ

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Computer Science Preprint PDF DOI

Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical Question Answering

Feng Luo, Hai Lan, Hui Luo, Zhifeng Bao, Xiaoli Wang, J.Shane Culpepper, Shazia Sadiq ยท 2026

In this paper, we study the problem of numerical multi-table question answering (MTQA) over large-scale table collections (e.g., online data repositories). This task is essential in many analytical apโ€ฆ

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AI & Data Science Preprint PDF DOI

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

Jun Yin, Peng Huo, Bangguo Zhu, Hao Yan, Senzhang Wang, Shirui Pan, Chengqi Zhang ยท 2026

In recent advances, to enable a fully data-driven learning paradigm on relational databases (RDB), relational deep learning (RDL) is proposed to structure the RDB as a heterogeneous entity graph and aโ€ฆ

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AI & Data Science Preprint PDF DOI

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data

Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen ยท 2026

Recent advances in large language models has strengthened Text2SQL systems that translate natural language questions into database queries. A persistent deployment challenge is to assess a newly trainโ€ฆ

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AI & Data Science Preprint PDF DOI

PARSE: Part-Aware Relational Spatial Modeling

Yinuo Bai, Peijun Xu, Kuixiang Shao, Yuyang Jiao, Jingxuan Zhang, Kaixin Yao, Jiayuan Gu, Jingyi Yu ยท 2026

Inter-object relations underpin spatial intelligence, yet existing representations -- linguistic prepositions or object-level scene graphs -- are too coarse to specify which regions actually support, โ€ฆ

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