| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4788 | 2021 |
| Stanza: A Python natural language processing toolkit for many human languages P Qi, Y Zhang, Y Zhang, J Bolton, CD Manning ACL 2020, 2020 | 2146 | 2020 |
| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... TMLR (Featured), 2022 | 1213 | 2022 |
| Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning VW Liang*, Y Zhang*, Y Kwon*, S Yeung, JY Zou NeurIPS 2022, 2022 | 393 | 2022 |
| Biomedical and clinical English model packages for the Stanza Python NLP library Y Zhang, Y Zhang, P Qi, CD Manning, CP Langlotz JAMIA, 2021 | 157 | 2021 |
| Can large language models provide useful feedback on research papers? A large-scale empirical analysis W Liang*, Y Zhang*, H Cao*, B Wang, D Ding, X Yang, K Vodrahalli, S He, ... NEJM AI, 2023 | 129 | 2023 |
| Inverse Scaling: When Bigger Isn't Better IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ... TMLR (Featured), 2023 | 127* | 2023 |
| Language models as recommender systems: Evaluations and limitations Y Zhang, H Ding, Z Shui, Y Ma, J Zou, A Deoras, H Wang NeurIPS 2021 ICBINB Workshop, 2021 | 97* | 2021 |
| Jiuge: A human-machine collaborative chinese classical poetry generation system G Zhipeng, X Yi, M Sun, W Li, C Yang, J Liang, H Chen, Y Zhang, R Li ACL 2019, 2019 | 63 | 2019 |
| Diagnosing and rectifying vision models using language Y Zhang, JZ HaoChen, SC Huang, KC Wang, J Zou, S Yeung ICLR 2023, 2023 | 55* | 2023 |
| Videoagent: Long-form video understanding with large language model as agent X Wang*, Y Zhang*, O Zohar, S Yeung-Levy ECCV 2024, 2024 | 46 | 2024 |
| MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks A Nie, Y Zhang, A Amdekar, C Piech, TH Hashimoto, T Gerstenberg NeurIPS 2023, 2023 | 32 | 2023 |
| On the opportunities and risks of foundation models B Rishi, A Ehsan, A Russ, A Simran, B Jeannette, B Antoine, B Emma, ... arXiv preprint, 2021 | 31 | 2021 |
| Describing Differences in Image Sets with Natural Language L Dunlap*, Y Zhang*, X Wang, R Zhong, T Darrell, J Steinhardt, ... CVPR 2024 (Oral), 2023 | 27 | 2023 |
| VetTag: improving automated veterinary diagnosis coding via large-scale language modeling Y Zhang*, A Nie*, A Zehnder, RL Page, J Zou Nature (npj) Digital Medicine, 2019 | 27 | 2019 |
| Why are Visually-Grounded Language Models Bad at Image Classification? Y Zhang, A Unell, X Wang, D Ghosh, Y Su, L Schmidt, S Yeung-Levy NeurIPS 2024, 2024 | 26 | 2024 |
| DeepTag: inferring diagnoses from veterinary clinical notes A Nie, A Zehnder, RL Page, Y Zhang, AL Pineda, MA Rivas, ... Nature (npj) Digital Medicine, 2018 | 26 | 2018 |
| THUOCL: Tsinghua open Chinese lexicon S Han, Y Zhang, Y Ma, C Tu, Z Guo, Z Liu, M Sun Technical Report, 2016 | 24 | 2016 |
| Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models Y Zhang, M Yasunaga, Z Zhou, JZ HaoChen, J Zou, P Liang, S Yeung ACL 2023 (Findings), 2023 | 11 | 2023 |
| Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data Y Zhang*, E Sui*, S Yeung-Levy ICLR 2024, 2024 | 10 | 2024 |