| Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning W Liang, Y Zhang, Y Kwon, S Yeung, JY Zou Advances in Neural Information Processing Systems 35, 17612-17625, 2022 | 686 | 2022 |
| GPT detectors are biased against non-native English writers W Liang, M Yuksekgonul, Y Mao, E Wu, J Zou Patterns (2023); arXiv preprint arXiv:2304.02819, 2023 | 669 | 2023 |
| Advances, challenges and opportunities in creating data for trustworthy AI W Liang, GA Tadesse, D Ho, L Fei-Fei, M Zaharia, C Zhang, J Zou Nature Machine Intelligence 4 (8), 669-677, 2022 | 659 | 2022 |
| Disparities in dermatology AI performance on a diverse, curated clinical image set R Daneshjou, K Vodrahalli, RA Novoa, M Jenkins, W Liang, V Rotemberg, ... Science advances 8 (31), eabq6147, 2022 | 474 | 2022 |
| Can large language models provide useful feedback on research papers? A large-scale empirical analysis W Liang, Y Zhang, H Cao, B Wang, DY Ding, X Yang, K Vodrahalli, S He, ... NEJM AI 1 (8), AIoa2400196, 2024 | 312 | 2024 |
| Improving out-of-distribution robustness via selective augmentation H Yao, Y Wang, S Li, L Zhang, W Liang, J Zou, C Finn International Conference on Machine Learning, 25407-25437, 2022 | 294 | 2022 |
| Monitoring ai-modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews W Liang, Z Izzo, Y Zhang, H Lepp, H Cao, X Zhao, L Chen, H Ye, S Liu, ... arXiv preprint arXiv:2403.07183, 2024 | 245 | 2024 |
| Mapping the increasing use of LLMs in scientific papers W Liang, Y Zhang, Z Wu, H Lepp, W Ji, X Zhao, H Cao, S Liu, S He, ... arXiv preprint arXiv:2404.01268, 2024 | 175 | 2024 |
| Metashift: A dataset of datasets for evaluating contextual distribution shifts and training conflicts W Liang, J Zou ICLR 2022; arXiv preprint arXiv:2202.06523, 2022 | 121 | 2022 |
| Deepstore: In-storage acceleration for intelligent queries VS Mailthody, Z Qureshi, W Liang, Z Feng, SG De Gonzalo, Y Li, H Franke, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 109 | 2019 |
| Characterizing the clinical adoption of medical AI devices through US insurance claims K Wu, E Wu, B Theodorou, W Liang, C Mack, L Glass, J Sun, J Zou Nejm Ai 1 (1), AIoa2300030, 2024 | 107 | 2024 |
| LMFusion: Adapting Pretrained Language Models for Multimodal Generation W Shi, X Han, C Zhou, W Liang, XV Lin, L Zettlemoyer, L Yu arXiv preprint arXiv:2412.15188, 2024 | 85 | 2024 |
| Opendataval: a unified benchmark for data valuation K Jiang, W Liang, JY Zou, Y Kwon Advances in Neural Information Processing Systems 36, 28624-28647, 2023 | 67 | 2023 |
| GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering W Liang, Y Jiang, Z Liu NAACL MAI 2021;arXiv preprint arXiv:2104.10283, 2021 | 62 | 2021 |
| Dawson: A domain adaptive few shot generation framework W Liang, Z Liu, C Liu arXiv preprint arXiv:2001.00576, 2020 | 62 | 2020 |
| Alice: Active learning with contrastive natural language explanations W Liang, J Zou, Z Yu EMNLP 2020; arXiv preprint arXiv:2009.10259, 2020 | 55 | 2020 |
| Disparities in dermatology ai: Assessments using diverse clinical images R Daneshjou, K Vodrahalli, W Liang, RA Novoa, M Jenkins, V Rotemberg, ... arXiv preprint arXiv:2111.08006, 2021 | 53 | 2021 |
| MOSS: End-to-End Dialog System Framework with Modular Supervision W Liang, Y Tian, C Chen, Z Yu AAAI 2020; arXiv preprint arXiv:1909.05528, 2019 | 51 | 2019 |
| The widespread adoption of large language model-assisted writing across society W Liang, Y Zhang, M Codreanu, J Wang, H Cao, J Zou arXiv preprint arXiv:2502.09747, 2025 | 45* | 2025 |
| Mixture-of-transformers: A sparse and scalable architecture for multi-modal foundation models W Liang, L Yu, L Luo, S Iyer, N Dong, C Zhou, G Ghosh, M Lewis, W Yih, ... arXiv preprint arXiv:2411.04996, 2024 | 44 | 2024 |
James ZouStanford UniversityVerified email at stanford.edu
