BIRD
Emerging6papers using it
2024first seen
The 'Bird' dataset is a benchmark used to evaluate the performance of text-to-SQL models in translating natural language questions into executable SQL queries.
Papers using BIRD (6)
- Integrating Reasoning and Generalization in Text-to-SQL via Self-Enhanced Fine-TuningJOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema SamplingFGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM ReasoningFeather-SQL: A Lightweight NL2SQL Framework with Dual-Model
Collaboration Paradigm for Small Language ModelsReasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards
for Reasoning-Enhanced Text-to-SQLSolid-SQL: Enhanced Schema-linking based In-context Learning for Robust
Text-to-SQL