Wang, Zhiguo

R3: Reinforced Ranker-Reader for Open-Domain Question Answering

Wang, S., Yu, M., Guo, X., Wang, Z., Klinger, T., Zhang, W., Chang, S., Tesauro, G., Zhou, B., & Jiang, J. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 351

A Graph-to-Sequence Model for AMR-to-Text Generation

Song, L., Zhang, Y., Wang, Z., & Gildea, D. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 216

Improving Factual Consistency of Abstractive Summarization via Question Answering

Nan, F., Nogueira dos Santos, C., Zhu, H., Ng, P., McKeown, K., Nallapati, R., Zhang, D., Wang, Z., Arnold, A. O., & Xiang, B. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 78

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Chang, S., Wang, J., Dong, M., Pan, L., Zhu, H., Li, A. H., Lan, W., Zhang, S., Jiang, J., Lilien, J., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 11

CiteEval: Principle-Driven Citation Evaluation for Source Attribution

Xu, Y., Qi, P., Chen, J., Liu, K., Han, R., Liu, L., Min, B., Castelli, V., Gupta, A., & Wang, Z. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0