Ruiyi Zhang is a Research Scientist at Adobe Research. His research interests include (interactive) machine learning, reinforcement learning (RL) and natural language processing (NLP), especially the intersection of them. Before that, Ruiyi obtained a Ph.D. advised from the Department of Computer ScienceDuke University. His thesis is about Uncertainty Estimation in Deep Reinforcement Learning and his advisor is Professor Lawrence Carin.


Please refer to his personal webpage for more information.



KaPQA: Knowledge-Augmented Product Question-Answering

Eppalapally, S., Dangi, D., Bhat, C., Gupta, A., Zhang, R., Bagga, K., Yoon, D., Lipka, N., Rossi, R., Dernoncourt, F. (Aug. 16, 2024)

ACL 2024 Workshop on Knowledge Augmented Methods for NLP

Customization Assistant for Text-to-image Generation

Zhou, Y., Zhang, R., Gu, J., Sun, T. (Jun. 17, 2024)

CVPR 2024

TRINS: Towards Multimodal Language Models that Can Read

Zhang, R., Zhang, Y., Chen, J., Zhou, Y., Gu, J., Chen, C., Sun, T. (Jun. 17, 2024)

CVPR 2024

Bias and Fairness in Large Language Models: A Survey

Gallegos, I., Rossi, R., Barrow, J., Tanjim, M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., Ahmed, N. (Jun. 11, 2024)

Computational Linguistics 2024

Learning Navigational Visual Representations with Semantic Map Supervision

Hong, Y., Zhou, Y., Zhang, R., Dernoncourt, F., Bui, T., Gould, S., Tan, H. (Oct. 6, 2023)

ICCV 2023