Ruiqi Zhong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Language Models Learn to Mislead Humans via RLHF. | Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng |
| 2025 | NAACL | Language Models can Categorize System Inputs for Performance Analysis. | Dominic Sobhani, Ruiqi Zhong, Edison Marrese-Taylor, Keisuke Sakaguchi, Yutaka Matsuo |
| 2024 | ACL | Learning Task Decomposition to Assist Humans in Competitive Programming. | Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang |
| 2024 | CVPR | Describing Differences in Image Sets with Natural Language. | Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy |
| 2024 | ICML | Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. | Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown |
| 2023 | EMNLP | Goal-Driven Explainable Clustering via Language Descriptions. | Zihan Wang, Jingbo Shang, Ruiqi Zhong |
| 2023 | EMNLP | Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. | Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner |
| 2023 | ICLR | InCoder: A Generative Model for Code Infilling and Synthesis. | Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis |
| 2023 | ICML | DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. | Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu |
| 2022 | ACL | Meta-learning via Language Model In-context Tuning. | Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | ICML | Describing Differences between Text Distributions with Natural Language. | Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt |
| 2021 | ACL | Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. | Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt |
| 2021 | EMNLP | Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. | Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein |
| 2020 | ACL | Semantic Scaffolds for Pseudocode-to-Code Generation. | Ruiqi Zhong, Mitchell Stern, Dan Klein |
| 2020 | EMNLP | Semantic Evaluation for Text-to-SQL with Distilled Test Suites. | Ruiqi Zhong, Tao Yu, Dan Klein |
| 2019 | EMNLP | Detecting and Reducing Bias in a High Stakes Domain. | Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown |
| 2018 | EMNLP | Detecting Gang-Involved Escalation on Social Media Using Context. | Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown |
| 2018 | ICML | Subspace Embedding and Linear Regression with Orlicz Norm. | Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong |