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Block-Sphere Vector Quantization GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction CogScale: Scalable Benchmark for Sequence Processing TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards LogRouter: Adaptive Two-Level LLM Routing for Log Question Answering in Big Data Systems Agentic Cost-Aware Query Planning with Knowledge Distillation for Big Data Analytics Covariance Structure and Coordinate Heterogeneity Govern Binary Quantization of Contrastive Embeddings IVF-TQ: Calibration-Free Streaming Vector Search via a Codebook-Free Residual Layer Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks Gaussian Relational Graph Transformer Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets Reducing Hallucination in Vision-Language Models via Stage-wise Preference Optimization under Distribution Shift A Horn extension of DL-Lite with NL data complexity 3D Primitives are a Spatial Language for VLMs Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance A CAP-like Trilemma for Large Language Models: Correctness, Non-bias, and Utility under Semantic Underdetermination EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models Toward Multi-Database Query Reasoning for Text2Cypher Autonomous FAIR Digital Objects: From Passive Assertions to Active Knowledge HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation Open Ontologies: Tool-Augmented Ontology Engineering with Stable Matching Alignment Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? 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Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks Using ASP(Q) to Handle Inconsistent Prioritized Data A Demonstration of SQLyzr: A Platform for Fine-Grained Text-to-SQL Evaluation and Analysis Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments DW-Bench: Benchmarking LLMs on Data Warehouse Graph Topology Reasoning PersonalHomeBench: Evaluating Agents in Personalized Smart Homes NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems Credo: Declarative Control of LLM Pipelines via Beliefs and Policies Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs IndicDB -- Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages Multi-modal panoramic 3D outdoor datasets for place categorization Gypscie: A Cross-Platform AI Artifact Management System ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification Graph Query Generation with Constraint-guided Large Language Agents CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data LLM+Graph@VLDB'2025 Workshop Summary Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework Stream2LLM: Overlap Context Streaming and Prefill for Reduced Time-to-First-Token (TTFT) HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning 100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints Relational In-Context Learning via Synthetic Pre-training with Structural Prior A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models OVT-MLCS: An Online Visual Tool for MLCS Mining from Long or Big Sequences Sufficient Explanations in Databases and their Connections to Database Repairs Gradient-Based Join Ordering Presenting DiaData for Research on Type 1 Diabetes Factual Inconsistencies in Multilingual Wikipedia Tables MINT: Multi-Vector Search Index Tuning Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL In-depth Analysis of Graph-based RAG in a Unified Framework Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation Goal-Driven Query Answering over First- and Second-Order Dependencies with Equality BEAVER: An Enterprise Benchmark for Text-to-SQL Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments
A Unifying Framework to Characterize the Power of a Language to Express Relations
Paola Bonizzoni, Peter J. Cameron, Gianluca Della Vedova, Albert · 2012-03-21 · via cs.DB updates on arXiv.org

In this extended abstract we provide a unifying framework that can be used to characterize and compare the expressive power of query languages for different data base models. The framework is based upon the new idea of valid partition, that is a partition of the elements of a given data base, where each class of the partition is composed by elements that cannot be separated (distinguished) according to some level of information contained in the data base. We describe two applications of this new framework, first by deriving a new syntactic characterization of the expressive power of relational algebra which is equivalent to the one given by Paredaens, and subsequently by studying the expressive power of a simple graph-based data model.

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