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NLQ4TSDB

2 articles · Page 1 of 1

Sep 3, 2026 · Databases

Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases

Sonar-TS introduces a training-free framework for natural language querying of massive time series databases, defining the new NLQ4TSDB problem, creating the NLQTSBench benchmark, and using a search-then-verify approach with symbolic indexing and code-based verification to find pattern matches across millions of data points.

NLQ4TSDBNLQTSBenchSonar-TS

0 likes · 12 min read

Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases

DataFunSummit

Jun 10, 2026 · Databases

Sonar-TS: A New Text-to-SQL Paradigm for Time‑Series Databases

The paper defines the NLQ4TSDB problem of letting non‑expert users query massive time‑series data with natural language, builds the large‑scale NLQTSBench benchmark, proposes the neural‑symbolic Sonar‑TS framework that searches then verifies, and shows it outperforms existing baselines while highlighting remaining challenges.

NLQ4TSDBSonar-TSText-to-SQL

0 likes · 9 min read

Sonar-TS: A New Text-to-SQL Paradigm for Time‑Series Databases