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ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
The explosive growth of multimodal data spanning text, spatial, vector, and relational modalities, coupled with the need for real-time …
Code Project
ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
LLM-powered data agents are playing an increasingly important role in data-driven decision making. However, existing data agents …
Project
Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
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
ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities
Project
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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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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