Zhong, Ruiqi

InCoder: A Generative Model for Code Infilling and Synthesis

Fried, D., Aghajanyan, A., Lin, J., Wang, S., Wallace, E., Shi, F., Zhong, R., Yih, W.-T., Zettlemoyer, L., & Lewis, M. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 187

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Zhong, R., Yu, T., & Klein, D. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 124

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Zhong, R., Yu, T., & Klein, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 112

Goal-Driven Explainable Clustering via Language Descriptions

Wang, Z., Shang, J., & Zhong, R. (2023) · arXiv

Topic ModelingAdvanced Clustering Algorithms Research

Cited by 24

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Anwar, U., Saparov, A., Rando, J., Paleka, D., Turpin, M., Hase, P., Lubana, E. S., Jenner, E., Casper, S., Sourbut, O., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 19

Learning by Distilling Context

Snell, C., Klein, D., & Zhong, R. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 8

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Sharma, M., Tong, M., Mu, J., Wei, J., Kruthoff, J., Goodfriend, S., Ong, E., Peng, A., Agarwal, R., Anil, C., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 7

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

Chen, Y., Zhong, R., Ri, N., Zhao, C., He, H., Steinhardt, J., Yu, Z., & McKeown, K. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5

Goal Driven Discovery of Distributional Differences via Language Descriptions

Zhong, R., Zhang, P., Li, S., Ahn, J., Klein, D., & Steinhardt, J. (2023) · arXiv

Topic ModelingComputational and Text Analysis Methods

Cited by 4

Language Models Learn to Mislead Humans via RLHF

Wen, J., Zhong, R., Khan, A., Perez, E., Steinhardt, J., Huang, M., Bowman, S. R., He, H., & Feng, S. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 4