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ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
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CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
Large Language Models (LLMs) have demonstrated impressive ability in generation and reasoning tasks but struggle with handling …
PDF Code Project
SOLAR: Efficient Spatial Queries on LSM-based Storage
The burgeoning volumes of spatial data from location-based applications and GPS-enabled devices present unique challenges in spatial …
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TATA: An Efficient Framework for Task Transfer in Query Plan Representation
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FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
The growing demand for data-driven decision-making has created an urgent need for data agents that can reason over heterogeneous data …
Code Project
MAAdvisor: Zero-Shot Index Advisor using Multi-Agent LLMs
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BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
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CAMAL: Optimizing LSM-trees via Active Learning
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DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
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NEXT: A New Secondary Index Framework for LSM-based Data Storage
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