When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL

@article{mengyi2026,
  title = {When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL},
  author = {Yan, Mengyi and Ma, Zhinian and Wang, Yue and Wang, Yaoshu and Zhu, Xiaoke and Wang, Zizhe and Zhou, Haoyi and Chen, Zhumin},
  journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year = {2026},
  month = {Jan},
}

Yan, Mengyi et al. (2026). When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.

Yan, Mengyi, et al.. "When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026.

Yan, Mengyi, et al.. "When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026).

Yan, Mengyi et al., 2026. When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.

TY  - JOUR
TI  - When the Bottleneck Shifts: Diagnosing and Closing Information Gaps in Interactive Text-to-SQL
AU  - Yan, Mengyi
AU  - Ma, Zhinian
AU  - Wang, Yue
AU  - Wang, Yaoshu
AU  - Zhu, Xiaoke
AU  - Wang, Zizhe
AU  - Zhou, Haoyi
AU  - Chen, Zhumin
PY  - 2026
JO  - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
ER  -