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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.
- T17-5Similar problemSince 2025
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
- T17-9Structural parallelSince 2025
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
- T17-1Similar problem
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
- T17-2Similar problem
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
- T17-3Structural parallel
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
- T17-4Similar problem
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
- T17-6Structural parallel
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
- T17-7Structural parallel
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
- T17-8Structural parallel
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
- T17-10Structural parallel
CHESS: Contextual Harnessing for Efficient SQL Synthesis
- T17-13Structural parallel
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
- T17-14Structural parallel
RARR: Researching and Revising What Language Models Say, Using Language Models
- T17-16Structural parallel
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
- T17-17Similar problem
ToTTo: A Controlled Table-To-Text Generation Dataset
- T17-18Similar problem
QTSumm: Query-Focused Summarization over Tabular Data
- T17-19Candidate approach
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
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