Zhang, Rui

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., et al. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 1,034

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Yu, T., Zhang, R., Yang, K., Yasunaga, M., Wang, D., Li, Z., Ma, J., Li, I., Yao, Q., Roman, S., et al. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 193

A comprehensive survey on relation extraction: recent advances and new frontiers

Zhao, X., Deng, Y., Yang, M., Wang, L., Zhang, R., Cheng, H., Lam, W., Shen, Y., & Xu, R. (2024) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 168

Associations among Screen Time and Unhealthy Behaviors, Academic Performance, and Well-Being in Chinese Adolescents

Yan, H., Zhang, R., Oniffrey, T., Chen, G., Wang, Y., Wu, Y., Zhang, X., Wang, Q., Ma, L., Li, R., et al. (2017) · International Journal of Environmental Research and Public Health

Impact of Technology on AdolescentsPhysical Activity and Health

Cited by 137

The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches

Fan, G., Liu, D., Zhang, R., & Pan, L. (2025) · International Journal of STEM Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 109

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Uchendu, A., Ma, Z., Le, T., Zhang, R., & Lee, D. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Authorship Attribution and ProfilingTopic Modeling

Cited by 82

Detecting Beneficial Feature Interactions for Recommender Systems

Su, Y., Zhang, R., Erfani, S., & Xu, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 76

MOOCs Meet Measurement Theory: A Topic-Modelling Approach

He, J., Rubinstein, B., Bailey, J., Zhang, R., Milligan, S., & Chan, J. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

Evaluating LLMs at Detecting Errors in LLM Responses

Kamoi, R., Das, S. S. S., Lou, R., Ahn, J. J., Zhao, Y., Lu, X., Zhang, N., Zhang, Y., Zhang, R. H., Vummanthala, S. R., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models

Zhang, N., Kwek, E., Zhang, Y., Nguyen, N.-H., Mitra, P., & Zhang, R. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0