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T17. Natural language to SQL and grounded report generation

Research on turning a question into a checked query and a sourced report.

  1. T17-5Similar problemSince 2025

    Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

    Authors
    Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao
    Year
    2025
    Venue
    ICLR 2025 Oral

    Korean review of T17-5

  2. T17-1Similar problem

    Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

    Authors
    Victor Zhong, Caiming Xiong, Richard Socher
    Year
    2017
    Venue
    arXiv

    Korean review of T17-1

  3. T17-2Similar problem

    Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

    Authors
    Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga and 8 others
    Year
    2018
    Venue
    EMNLP 2018

    Korean review of T17-2

  4. T17-4Similar problem

    Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

    Authors
    Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang
    Year
    2023
    Venue
    NeurIPS 2023

    Korean review of T17-4

  5. T17-17Similar problem

    ToTTo: A Controlled Table-To-Text Generation Dataset

    Authors
    Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
    Year
    2020
    Venue
    EMNLP 2020

    Korean review of T17-17

  6. T17-18Similar problem

    QTSumm: Query-Focused Summarization over Tabular Data

    Authors
    Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
    Year
    2023
    Venue
    EMNLP 2023

    Korean review of T17-18

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