@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},
doi = {10.18653/2026.emnlp-main.465},
url = {https://doi.org/10.18653/2026.emnlp-main.465},
}
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. https://doi.org/10.18653/2026.emnlp-main.465
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, https://doi.org/10.18653/2026.emnlp-main.465.
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). https://doi.org/10.18653/2026.emnlp-main.465
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. Available at: <https://doi.org/10.18653/2026.emnlp-main.465>.
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
DO - 10.18653/2026.emnlp-main.465
UR - https://doi.org/10.18653/2026.emnlp-main.465
ER -