| Fine-grained sentiment analysis with faithful attention R Zhong, S Shao, K McKeown arXiv preprint arXiv:1908.06870, 2019 | 31 | 2019 |
| Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections R Zhong, K Lee, Z Zhang, D Klein EMNLP 2021, Findings, 2021 | 28* | 2021 |
| Subspace embedding and linear regression with Orlicz norm A Andoni, C Lin, Y Sheng, P Zhong, R Zhong International Conference on Machine Learning, 224-233, 2018 | 18 | 2018 |
| Semantic evaluation for text-to-sql with distilled test suites R Zhong, T Yu, D Klein EMNLP 2020, 2020 | 12 | 2020 |
| Detecting gang-involved escalation on social media using context S Chang, R Zhong, E Adams, FT Lee, S Varia, D Patton, W Frey, C Kedzie, ... EMNLP 2018, 2018 | 12 | 2018 |
| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 11 | 2022 |
| Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level R Zhong, D Ghosh, D Klein, J Steinhardt ACL 2021, Findings, 2021 | 11 | 2021 |
| Semantic scaffolds for pseudocode-to-code generation R Zhong, M Stern, D Klein ACL 2020, 2020 | 10 | 2020 |
| Gaia-a multi-media multi-lingual knowledge extraction and hypothesis generation system T Zhang, A Subburathinam, G Shi, L Huang, D Lu, X Pan, M Li, B Zhang, ... TAC, 2018 | 8 | 2018 |
| Meta-learning via language model in-context tuning Y Chen, R Zhong, S Zha, G Karypis, H He arXiv preprint arXiv:2110.07814, 2021 | 7 | 2021 |
| Detecting and reducing bias in a high stakes domain R Zhong, Y Chen, D Patton, C Selous, K McKeown EMNLP 2019, 2019 | 3 | 2019 |
| Approximating how single head attention learns C Snell, R Zhong, D Klein, J Steinhardt arXiv preprint arXiv:2103.07601, 2021 | 2 | 2021 |
| InCoder: A Generative Model for Code Infilling and Synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... arXiv preprint arXiv:2204.05999, 2022 | | 2022 |
| Summarizing Differences between Text Distributions with Natural Language R Zhong, C Snell, D Klein, J Steinhardt arXiv preprint arXiv:2201.12323, 2022 | | 2022 |
| The Effect of Model Size on Worst-Group Generalization A Pham, E Chan, V Srivatsa, D Ghosh, Y Yang, Y Yu, R Zhong, ... arXiv preprint arXiv:2112.04094, 2021 | | 2021 |
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityE-mail confirmado em cs.columbia.edu
