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Xintong Zhu

2 accepted papers

2026

BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions

ICLR 2026oral

Large language models (LLMs) have demonstrated remarkable performance on single-turn text-to-SQL tasks, but real-world database applications predominantly require multi-turn interactions to handle ambiguous queries, execution errors, and evolving user requirements. Existing multi-turn benchmarks fal…

Cited by 0SourcecodeScholar
2025

SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications

NeurIPS 2025poster

Resolution of complex SQL issues persists as a significant bottleneck in real-world database applications. Current Large Language Models (LLMs), while adept at text-to-SQL translation, have not been rigorously evaluated on the more challenging task of debugging on SQL issues. In order to address thi…

Cited by 0SourceScholar