Zhao Tan — accepted AI-conference papers

2026

Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases

Zhao Tan, Yiji Zhao, Shiyu Wang, Chang Xu, Yuxuan Liang, Xiping Liu +2

ICML 2026poster

Natural Language Querying for Time Series Databases (NLQ4TSDB) aims to assist non-expert users retrieve meaningful events, intervals, and summaries from massive temporal records. However, existing Text-to-SQL methods are not designed for continuous morphological intents such as shapes or anomalies, …

Cited by 0 Source ↗Scholar ↗

2024

Enhancing Text-to-SQL Capabilities of Large Language Models through Tailored Promptings

Zhao Tan, Xiping Liu, Qing Shu, Xi Li, Changxuan Wan, Dexi Liu +2

COLING 2024main

Large language models (LLMs) with prompting have achieved encouraging results on many natural language processing (NLP) tasks based on task-tailored promptings. Text-to-SQL is a critical task that generates SQL queries from natural language questions. However, prompting on LLMs haven’t show superior…

Cited by 10 Source ↗PDF ↗Scholar ↗