StocksTalk：一种面向网络数据结构化查询生成的语音赋能对话智能体
StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
- IIIT-Delhi（德里印度信息技术学院）
- Singapore Institute of Technology（新加坡理工学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
StocksTalk是一种语音赋能对话系统，可将口语化金融请求转为结构化查询，通过多模块提升准确性，为股票筛选决策提供支持。
AI中文摘要：
StocksTalk是一种语音赋能的对话系统，用于将口语化的金融筛选请求转换为针对真实市场数据的可执行且经过验证的结构化查询。该系统在交互式仪表板内结合了流式语音识别、检索增强的约束提取、基于模式的大语言模型（LLM）SQL生成、基于规则的验证以及人在回路中的验证。与传统的模板驱动型金融助手不同，StocksTalk会展示中间推理产物，包括提取的约束、标准化的金融指标、算子绑定以及生成的查询，允许用户在执行前检查和优化每个阶段。为评估该系统，我们整理了包含150个口语化金融提示的基准数据集，这些提示涵盖多种投资策略和输入噪声条件。实验结果表明，与基于基线LLM的方法相比，检索绑定、约束查询生成以及交互式验证显著提升了约束提取准确率、SQL可执行性、逻辑一致性和多轮稳定性。StocksTalk证明了透明的语音驱动界面如何弥合自然语言交互与结构化金融分析之间的鸿沟，为对话式股票筛选和决策支持提供了有效的框架。
英文摘要：
StocksTalk is a voice-enabled conversational system for transforming spoken financial screening requests into executable and validated structured queries over real-world market data. The system combines streaming speech recognition, retrieval-augmented constraint extraction, schema-grounded LLM-based SQL generation, rule-based validation, and human-in-the-loop verification within an interactive dashboard. Unlike traditional template-driven financial assistants, StocksTalk exposes intermediate reasoning artifacts, including extracted constraints, normalized financial metrics, operator grounding, and generated queries, allowing users to inspect and refine each stage before execution. To evaluate the system, we curate a benchmark of 150 spoken financial prompts spanning multiple investment strategies and input noise conditions. Experimental results show that retrieval grounding, constrained query generation, and interactive verification substantially improve constraint extraction accuracy, SQL executability, logical consistency, and multi-turn stability compared to baseline LLM-based approaches. StocksTalk demonstrates how transparent, voice-driven interfaces can bridge natural language interaction and structured financial analysis, providing an effective framework for conversational stock screening and decision support.
