| Reducing gender bias in word-level language models with a gender-equalizing loss function Y Qian, U Muaz, B Zhang, JW Hyun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 101 | 2019 |
| How easy is it to fool your multimodal llms? an empirical analysis on deceptive prompts Y Qian, H Zhang, Y Yang, Z Gan arXiv preprint arXiv:2402.13220, 2024 | 18 | 2024 |
| Gender stereotypes differ between male and female writings Y Qian Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 8 | 2019 |
| MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Y Qian, H Ye, JP Fauconnier, P Grasch, Y Yang, Z Gan arXiv preprint arXiv:2407.01509, 2024 | 2 | 2024 |
| Story-level Text Style Transfer: A Proposal Y Qian Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 2 | 2020 |
| Understanding Alignment in Multimodal LLMs: A Comprehensive Study E Amirloo, JP Fauconnier, C Roseann, C Kerl, R Boney, Y Qian, Z Wang, ... arXiv preprint arXiv:2407.02477, 2024 | 1 | 2024 |
Zhe GanResearch Scientist, Apple在 apple.com 的电子邮件经过验证
Zhe GanResearch Scientist, Apple在 apple.com 的电子邮件经过验证
Yinfei YangApple在 apple.com 的电子邮件经过验证
Haotian ZhangResearch Scientist, Apple在 apple.com 的电子邮件经过验证
Peter GraschApple在 grasch.net 的电子邮件经过验证