ThalamusDB: Approximate Query Processing on Multi-Modal Data
Summary: ThalamusDB: AQPs for complex SQL over multi-modal data, combining relational operators with zero-shot vision/audio/text models and small user label requests for NL predicates. Distinctive for deterministic approximation + user-tunable tradeoffs among error, latency, and labeling overhead via optimizer-guided plans. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Saehan Jo
- 2. Immanuel Trummer
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,429 | Logical and Physical Optimizations for SQL Query Execution over Large Language Models | 2025 | SIGMOD | 5.511638e-05 |
| 9,152 | Doctopus: Budget-aware Structural Table Extraction from Unstructured Documents | 2025 | VLDB | 4.380727e-05 |
| 9,971 | KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration | 2026 | CIDR | 4.1905499e-05 |
| 10,144 | Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization | 2026 | SIGMOD | 4.1905499e-05 |
| 10,212 | SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads | 2026 | SIGMOD | 4.1905499e-05 |
| 10,215 | Task Cascades for Efficient Unstructured Data Processing | 2026 | SIGMOD | 4.1905499e-05 |
| 10,277 | SemBench: A Benchmark for Semantic Query Processing Engines | 2026 | VLDB | 4.1905499e-05 |
| 10,758 | QUEST: Query Optimization in Unstructured Document Analysis | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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