Language Models Learn to Mislead Humans via RLHF. - Wen, Jiaxin; Zhong, Ruiqi; Khan, Akbir; Perez, Ethan; Steinhardt, Jacob; Huang, Minlie; Bowman, Samuel R.; He, He; Feng, Shi (2025)

Language Models can Categorize System Inputs for Performance Analysis. - Sobhani, Dominic; Zhong, Ruiqi; Marrese-Taylor, Edison; Sakaguchi, Keisuke; Matsuo, Yutaka (2025)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Sharma, Mrinank; Tong, Meg; Mu, Jesse; Wei, Jerry; Kruthoff, Jorrit; Goodfriend, Scott; Ong, Euan; Peng, Alwin; Agarwal, Raj; Anil, Cem; Askell, Amanda; Bailey, Nathan; et al. (CoRR, 2025)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Anwar, Usman; Saparov, Abulhair; Rando, Javier; Paleka, Daniel; Turpin, Miles; Hase, Peter; Lubana, Ekdeep Singh; Jenner, Erik; Casper, Stephen; Sourbut, Oliver; Edelman, Benjamin L.; Zhang, Zhaowei; et al. (Trans. Mach. Learn. Res., 2024)

Learning Task Decomposition to Assist Humans in Competitive Programming. - Wen, Jiaxin; Zhong, Ruiqi; Ke, Pei; Shao, Zhihong; Wang, Hongning; Huang, Minlie (2024)

Describing Differences in Image Sets with Natural Language. - Dunlap, Lisa; Zhang, Yuhui; Wang, Xiaohan; Zhong, Ruiqi; Darrell, Trevor; Steinhardt, Jacob; Gonzalez, Joseph E.; Yeung-Levy, Serena (2024)

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. - Chen, Yanda; Zhong, Ruiqi; Ri, Narutatsu; Zhao, Chen; He, He; Steinhardt, Jacob; Yu, Zhou; McKeown, Kathleen R. (2024)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters. - Zhong, Ruiqi; Wang, Heng; Klein, Dan; Steinhardt, Jacob (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Anwar, Usman; Saparov, Abulhair; Rando, Javier; Paleka, Daniel; Turpin, Miles; Hase, Peter; Lubana, Ekdeep Singh; Jenner, Erik; Casper, Stephen; Sourbut, Oliver; Edelman, Benjamin L.; Zhang, Zhaowei; et al. (CoRR, 2024)

Learning Task Decomposition to Assist Humans in Competitive Programming. - Wen, Jiaxin; Zhong, Ruiqi; Ke, Pei; Shao, Zhihong; Wang, Hongning; Huang, Minlie (CoRR, 2024)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters. - Zhong, Ruiqi; Wang, Heng; Klein, Dan; Steinhardt, Jacob (CoRR, 2024)

Language Models Learn to Mislead Humans via RLHF. - Wen, Jiaxin; Zhong, Ruiqi; Khan, Akbir; Perez, Ethan; Steinhardt, Jacob; Huang, Minlie; Bowman, Samuel R.; He, He; Feng, Shi (CoRR, 2024)

Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. - Zhong, Ruiqi; Snell, Charlie; Klein, Dan; Eisner, Jason (2023)

Goal-Driven Explainable Clustering via Language Descriptions. - Wang, Zihan; Shang, Jingbo; Zhong, Ruiqi (2023)

InCoder: A Generative Model for Code Infilling and Synthesis. - Fried, Daniel; Aghajanyan, Armen; Lin, Jessy; Wang, Sida; Wallace, Eric; Shi, Freda; Zhong, Ruiqi; Yih, Scott; Zettlemoyer, Luke; Lewis, Mike (2023)

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. - Lai, Yuhang; Li, Chengxi; Wang, Yiming; Zhang, Tianyi; Zhong, Ruiqi; Zettlemoyer, Luke; Yih, Wen-Tau; Fried, Daniel; Wang, Sida I.; Yu, Tao (2023)

Goal Driven Discovery of Distributional Differences via Language Descriptions. - Zhong, Ruiqi; Zhang, Peter; Li, Steve; Ahn, Jinwoo; Klein, Dan; Steinhardt, Jacob (2023)

Goal Driven Discovery of Distributional Differences via Language Descriptions. - Zhong, Ruiqi; Zhang, Peter; Li, Steve; Ahn, Jinwoo; Klein, Dan; Steinhardt, Jacob (CoRR, 2023)

Goal-Driven Explainable Clustering via Language Descriptions. - Wang, Zihan; Shang, Jingbo; Zhong, Ruiqi (CoRR, 2023)

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. - Chen, Yanda; Zhong, Ruiqi; Ri, Narutatsu; Zhao, Chen; He, He; Steinhardt, Jacob; Yu, Zhou; McKeown, Kathleen R. (CoRR, 2023)

Describing Differences in Image Sets with Natural Language. - Dunlap, Lisa; Zhang, Yuhui; Wang, Xiaohan; Zhong, Ruiqi; Darrell, Trevor; Steinhardt, Jacob; Gonzalez, Joseph E.; Yeung-Levy, Serena (CoRR, 2023)

Meta-learning via Language Model In-context Tuning. - Chen, Yanda; Zhong, Ruiqi; Zha, Sheng; Karypis, George; He, He (2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Xie, Tianbao; Wu, Chen Henry; Shi, Peng; Zhong, Ruiqi; Scholak, Torsten; Yasunaga, Michihiro; Wu, Chien-Sheng; Zhong, Ming; Yin, Pengcheng; Wang, Sida I.; Zhong, Victor; Wang, Bailin; et al. (2022)

Describing Differences between Text Distributions with Natural Language. - Zhong, Ruiqi; Snell, Charlie; Klein, Dan; Steinhardt, Jacob (2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Xie, Tianbao; Wu, Chen Henry; Shi, Peng; Zhong, Ruiqi; Scholak, Torsten; Yasunaga, Michihiro; Wu, Chien-Sheng; Zhong, Ming; Yin, Pengcheng; Wang, Sida I.; Zhong, Victor; Wang, Bailin; et al. (CoRR, 2022)

Summarizing Differences between Text Distributions with Natural Language. - Zhong, Ruiqi; Snell, Charlie; Klein, Dan; Steinhardt, Jacob (CoRR, 2022)

InCoder: A Generative Model for Code Infilling and Synthesis. - Fried, Daniel; Aghajanyan, Armen; Lin, Jessy; Wang, Sida; Wallace, Eric; Shi, Freda; Zhong, Ruiqi; Yih, Wen-tau; Zettlemoyer, Luke; Lewis, Mike (CoRR, 2022)

Active Programming by Example with a Natural Language Prior. - Zhong, Ruiqi; Snell, Charlie; Klein, Dan; Eisner, Jason (CoRR, 2022)

Learning by Distilling Context. - Snell, Charlie; Klein, Dan; Zhong, Ruiqi (CoRR, 2022)

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. - Lai, Yuhang; Li, Chengxi; Wang, Yiming; Zhang, Tianyi; Zhong, Ruiqi; Zettlemoyer, Luke; Yih, Scott Wen-tau; Fried, Daniel; Wang, Sida I.; Yu, Tao (CoRR, 2022)

Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. - Zhong, Ruiqi; Ghosh, Dhruba; Klein, Dan; Steinhardt, Jacob (2021)

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. - Zhong, Ruiqi; Lee, Kristy; Zhang, Zheng; Klein, Dan (2021)

Approximating How Single Head Attention Learns. - Snell, Charlie; Zhong, Ruiqi; Klein, Dan; Steinhardt, Jacob (CoRR, 2021)

Meta-tuning Language Models to Answer Prompts Better. - Zhong, Ruiqi; Lee, Kristy; Zhang, Zheng; Klein, Dan (CoRR, 2021)

Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. - Zhong, Ruiqi; Ghosh, Dhruba; Klein, Dan; Steinhardt, Jacob (CoRR, 2021)

Meta-learning via Language Model In-context Tuning. - Chen, Yanda; Zhong, Ruiqi; Zha, Sheng; Karypis, George; He, He (CoRR, 2021)

The Effect of Model Size on Worst-Group Generalization. - Pham, Alan; Chan, Eunice; Srivatsa, Vikranth; Ghosh, Dhruba; Yang, Yaoqing; Yu, Yaodong; Zhong, Ruiqi; Gonzalez, Joseph E.; Steinhardt, Jacob (CoRR, 2021)

Semantic Scaffolds for Pseudocode-to-Code Generation. - Zhong, Ruiqi; Stern, Mitchell; Klein, Dan (2020)

Semantic Evaluation for Text-to-SQL with Distilled Test Suites. - Zhong, Ruiqi; Yu, Tao; Klein, Dan (2020)

Semantic Scaffolds for Pseudocode-to-Code Generation. - Zhong, Ruiqi; Stern, Mitchell; Klein, Dan (CoRR, 2020)

Semantic Evaluation for Text-to-SQL with Distilled Test Suites. - Zhong, Ruiqi; Yu, Tao; Klein, Dan (CoRR, 2020)

Detecting and Reducing Bias in a High Stakes Domain. - Zhong, Ruiqi; Chen, Yanda; Patton, Desmond; Selous, Charlotte; McKeown, Kathy (2019)

Fine-grained Sentiment Analysis with Faithful Attention. - Zhong, Ruiqi; Shao, Steven; McKeown, Kathleen R. (CoRR, 2019)

Detecting and Reducing Bias in a High Stakes Domain. - Zhong, Ruiqi; Chen, Yanda; Patton, Desmond; Selous, Charlotte; McKeown, Kathy (CoRR, 2019)

Detecting Gang-Involved Escalation on Social Media Using Context. - Chang, Serina; Zhong, Ruiqi; Adams, Ethan; Lee, Fei-Tzin; Varia, Siddharth; Patton, Desmond; Frey, William R.; Kedzie, Chris; McKeown, Kathy (2018)

Subspace Embedding and Linear Regression with Orlicz Norm. - Andoni, Alexandr; Lin, Chengyu; Sheng, Ying; Zhong, Peilin; Zhong, Ruiqi (2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Zhang, Tongtao; Subburathinam, Ananya; Shi, Ge; Huang, Lifu; Lu, Di; Pan, Xiaoman; Li, Manling; Zhang, Boliang; Wang, Qingyun; Whitehead, Spencer; Ji, Heng; Zareian, Alireza; et al. (2018)

Subspace Embedding and Linear Regression with Orlicz Norm. - Andoni, Alexandr; Lin, Chengyu; Sheng, Ying; Zhong, Peilin; Zhong, Ruiqi (CoRR, 2018)

Detecting Gang-Involved Escalation on Social Media Using Context. - Chang, Serina; Zhong, Ruiqi; Adams, Ethan; Lee, Fei-Tzin; Varia, Siddharth; Patton, Desmond; Frey, William R.; Kedzie, Chris; McKeown, Kathy (CoRR, 2018)