Graphix-3B

Papers using or citing this model 4

• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task 2.3K citations · 2018 · arXiv (Cornell University) · arXiv

  We present Spider, a large-scale, complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 college students. It consists of 10,181 questions and 5,693 unique complex SQL queries on 200 databases with multiple...

• Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs 1.3K citations · 2023 · arXiv (Cornell University) · arXiv

  Text-to-SQL parsing, which aims at converting natural language instructions into executable SQLs, has gained increasing attention in recent years. In particular, Codex and ChatGPT have shown impressive results in this task. However,...

• PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models 759 citations · 2021 · Conference on Empirical Methods in Natural Language Processing · arXiv

  Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10,000s of sub-word tokens. When fine-tuned to target constrained formal languages like SQL, these...

• Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing 191 citations · 2023 · AAAI Conference on Artificial Intelligence · arXiv

  The task of text-to-SQL parsing, which aims at converting natural language questions into executable SQL queries, has garnered increasing attention in recent years, as it can assist end users in efficiently extracting vital information...