| LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin the Journal of machine Learning research 9, 1871-1874, 2008 | 10279 | 2008 |
| Man is to computer programmer as woman is to homemaker? debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems, 4349-4357, 2016 | 5188 | 2016 |
| Visualbert: A simple and performant baseline for vision and language LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang arXiv preprint arXiv:1908.03557, 2019 | 2638 | 2019 |
| Learn to explain: Multimodal reasoning via thought chains for science question answering P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ... Advances in Neural Information Processing Systems 35, 2507-2521, 2022 | 1986 | 2022 |
| Grounded language-image pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1826 | 2022 |
| Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang EMNLP, 2017 | 1426 | 2017 |
| Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018 | 1410 | 2018 |
| Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018 | 1294 | 2018 |
| A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008 | 1255 | 2008 |
| Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... arXiv preprint arXiv:2310.02255, 2023 | 1220 | 2023 |
| Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang NAACL 2021, 2021 | 1095 | 2021 |
| The Woman Worked as a Babysitter: On Biases in Language Generation E Sheng, KW Chang, P Natarajan, N Peng Proceedings of the 2019 Conference on Empirical Methods in Natural Language, 2019 | 906 | 2019 |
| Mitigating gender bias in natural language processing: Literature review T Sun, A Gaut, S Tang, Y Huang, M ElSherief, J Zhao, D Mirza, E Belding, ... ACL, 2019 | 899 | 2019 |
| Training and testing low-degree polynomial data mappings via linear SVM YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin The Journal of Machine Learning Research 99, 1471-1490, 2010 | 812 | 2010 |
| Gpt-gnn: Generative pre-training of graph neural networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 791 | 2020 |
| Trustllm: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 643* | 2024 |
| Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Advances in Neural Information Processing Systems 36, 43447-43478, 2023 | 624 | 2023 |
| Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez Proceedings of the IEEE International Conference on Computer Vision, 5310-5319, 2019 | 601 | 2019 |
| Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018 | 595 | 2018 |
| Bold: Dataset and metrics for measuring biases in open-ended language generation J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ... Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 588 | 2021 |
Nanyun (Violet) PengAssociate Professor, UCLAVerified email at cs.ucla.edu
