| Openattack: An open-source textual adversarial attack toolkit G Zeng, F Qi, Q Zhou, T Zhang, Z Ma, B Hou, Y Zang, Z Liu, M Sun arXiv preprint arXiv:2009.09191, 2020 | 137 | 2020 |
| Crepe: Can vision-language foundation models reason compositionally? Z Ma, J Hong, MO Gul, M Gandhi, I Gao, R Krishna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 133 | 2023 |
| Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality CY Hsieh, J Zhang, Z Ma, A Kembhavi, R Krishna Advances in neural information processing systems 36, 2024 | 105 | 2024 |
| Task Me Anything J Zhang, W Huang, Z Ma, O Michel, D He, T Gupta, WC Ma, A Farhadi, ... arXiv preprint arXiv:2406.11775, 2024 | 53 | 2024 |
| Model sketching: centering concepts in early-stage machine learning model design MS Lam, Z Ma, A Li, I Freitas, D Wang, JA Landay, MS Bernstein Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 23 | 2023 |
| Elign: Expectation alignment as a multi-agent intrinsic reward Z Ma, R Wang, FF Li, M Bernstein, R Krishna Advances in Neural Information Processing Systems 35, 8304-8317, 2022 | 18 | 2022 |
| Telomerase reverse transcriptase promoter mutations in hepatocellular carcinogenesis ZX Ma, CM Yang, MG Li, H Tu cancer 25 (26), 28-37, 2019 | 18 | 2019 |
| m &m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks Z Ma, W Huang, J Zhang, T Gupta, R Krishna European Conference on Computer Vision, 18-34, 2024 | 13 | 2024 |
| Naturalbench: Evaluating vision-language models on natural adversarial samples B Li, Z Lin, W Peng, JD Nyandwi, D Jiang, Z Ma, S Khanuja, R Krishna, ... arXiv preprint arXiv:2410.14669, 2024 | 6 | 2024 |
| ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models J Zhang, L Xue, L Song, J Wang, W Huang, M Shu, A Yan, Z Ma, ... arXiv preprint arXiv:2412.07012, 2024 | 3* | 2024 |
| TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action Z Ma, J Zhang, Z Liu, J Zhang, J Tan, M Shu, JC Niebles, S Heinecke, ... arXiv preprint arXiv:2412.05479, 2024 | | 2024 |
| Towards More Effective Multi-agent Coordination via Alignment Z Ma Stanford University, 2022 | | 2022 |
| Taskverse: A Benchmark Generation Engine for Multi-modal Language Model J Zhang, W Huang, Z Ma, O Michel, D He, T Gupta, WC Ma, A Farhadi, ... Workshop on Video-Language Models@ NeurIPS 2024, 0 | | |
| Coarse Correspondences Boost 3D Spacetime Understanding in Multimodal Language Model B Liu, Y Dong, Y Wang, Z Ma, Y Tang, L Tang, Y Rao, WC Ma, R Krishna | | |