UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
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OmniTQA integrates LLM semantic reasoning as a first-class query operator with classical relational operators in a cost-aware planner for hybrid structured and semi-structured data.
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Unified Data Discovery across Query Modalities and User Intents
UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
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OmniTQA: A Cost-Aware System for Hybrid Query Processing over Semi-Structured Data
OmniTQA integrates LLM semantic reasoning as a first-class query operator with classical relational operators in a cost-aware planner for hybrid structured and semi-structured data.