中文标题#
QueryGenie：使基於 LLM 的資料庫查詢透明且可控
英文标题#
QueryGenie: Making LLM-Based Database Querying Transparent and Controllable
中文摘要#
基於大型語言模型（LLMs）的對話式用戶介面顯著降低了資料庫查詢的技術門檻。 然而，現有工具仍然面臨多個挑戰，例如對用戶意圖的誤解、生成幻覺內容以及缺乏有效的人類反饋機制 —— 所有這些問題都削弱了它們的可靠性與實用性。 為了解決這些問題並促進更透明和可控的查詢體驗，我們提出了 QueryGenie，一個互動式系統，使用戶能夠監控、理解和引導由 LLM 驅動的查詢生成過程。 通過逐步推理、即時驗證和響應式互動機制，用戶可以迭代地優化查詢邏輯並確保與他們的意圖一致。
英文摘要#
Conversational user interfaces powered by large language models (LLMs) have significantly lowered the technical barriers to database querying. However, existing tools still encounter several challenges, such as misinterpretation of user intent, generation of hallucinated content, and the absence of effective mechanisms for human feedback-all of which undermine their reliability and practical utility. To address these issues and promote a more transparent and controllable querying experience, we proposed QueryGenie, an interactive system that enables users to monitor, understand, and guide the LLM-driven query generation process. Through incremental reasoning, real-time validation, and responsive interaction mechanisms, users can iteratively refine query logic and ensure alignment with their intent.
文章頁面#
QueryGenie：使基於 LLM 的資料庫查詢透明且可控
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