MCTS-SQL

Reported on 4 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Semantic ParsingonBIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
Execution Accuracy % (Dev)
68.91
best: 74.32 (DSAIR + GPT-4o)
Semantic ParsingonBIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
Execution Accuracy % (Test)
69.4
best: 75.63 (XiYan-SQL)
Text-To-SQLonBIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
Execution Accuracy % (Dev)
68.91
best: 74.32 (DSAIR + GPT-4o)
Text-To-SQLonBIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation)
Execution Accuracy % (Test)
69.4
best: 75.63 (XiYan-SQL)