Submission by AWS Quick team: https://aws.amazon.com/quicksuite/
Contributors: Ravi Shankar, Leah Riley, Adi Kalyanpur, QuickScience team
BIRD leaderboard: https://bird-bench.github.io/

To be updated
If you find our work helpful, feel free to give us a cite.
@techreport{qsql2025aws,
title={Q-SQL: AWS, Memory with RL for Structured Data },
author={Shankar, Ravi and Riley, Leah and Kalyanpur, Adi},
institution={AWS Quick Team},
year={2025},
month={December},
url={<https://aws.amazon.com/quicksuite/>},
note={BIRD Benchmark Submission}
}
✅ Consensus @K Results (Execution-Based)
| Version | Correct / Total | Accuracy | Δ vs Gemini |
|---|---|---|---|
| Spektr-SQL(Amazon Ads) | 1104 / 1532 | 72.06 % | -0.56 pts |
| Gemini-2.5 Pro | 1113 / 1533 | 72.63 % | N/A |
| Q-SQL(AWS: Quick Science) | 1119 / 1533 | 72.99 % | +0.36 pts |
📊 Accuracy based on Count of Candidates(Higher is better):