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Generating executable structured queries for OpenStreetMap (OSM) from natural language remains a challenging task due to the rigid syntax of OverpassQL and the steep learning curve it presents to end-users. While steering Large Language Models (LLMs) via demonstration contexts offers a promising solution, existing...
Text-to-SQL technology enables users to query relational databases using natural language, but ambiguity in user questions remains a major obstacle: non-expert users naturally produce ambiguous queries, yet current Text-to-SQL systems often ignore ambiguity or rely on interaction without a principled strategy, resultin...
QueryCraft is an interactive MongoDB interface for non-relational NoSQL document databases through which users ask natural language questions, inspect generated aggregation pipelines, and execute queries without manually writing MongoDB code. The interface includes a nested schema browser, an inspectable program view,...
A new paradigm that reframes Text-to-Vis as interaction-driven intent recovery, and the first benchmark for dynamic interactive Text-to-Vis, featuring controlled imperfection injection, a leakage-controlled User Agent for realistic multi-turn feedback, and dual-perspective (code and chart) automated evaluation are intr...
This work introduces the Text-to-Flux task and proposes FluxEngine, a novel automated pipeline for dataset construction, and provides the essential infrastructure to foster future research in NLI for TSDBs.
The proliferation of IoT and real-time monitoring has established Time-Series Databases (TSDBs) like InfluxDB as critical infrastructure. However, their functional query languages (e.g., Flux) present a steep learning curve, hindering data accessibility for non-experts. While Natural Language Interfaces (NLIs) offer a...
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