Yu, Tong

Bias and Fairness in Large Language Models: A Survey

Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., & Ahmed, N. K. (2024) · Computational Linguistics

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 1,245

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation

Agarwal, S., Sundaresan, S., Mitra, S., Mahapatra, D., Gupta, A., Sharma, R., Kapu, N. J., Yu, T., & Saini, S. (2025) · Proceedings of the ACM on Management of Data

Topic ModelingParallel Computing and Optimization Techniques

Cited by 21

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation

Agarwal, S., Sundaresan, S., Mitra, S., Mahapatra, D., Gupta, A., Sharma, R., Kapu, N. J., Yu, T., & Saini, S. (2025) · arXiv

Topic ModelingParallel Computing and Optimization Techniques

Cited by 21

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings

Hsu, T.-Y., Huang, C.-Y., Huang, S.-H., Rossi, R., Kim, S., Yu, T., Giles, C. L., & Huang, T.-H. K. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Academic Writing and PublishingData Visualization and Analytics

Cited by 12

Self-supervised learning for DNA sequences with circular dilated convolutional networks

Cheng, L., Yu, T., Aittokallio, T., Corander, J., Khalitov, R., & Yang, Z. (2023) · Neural Networks

Machine Learning in BioinformaticsGenomics and Chromatin Dynamics

Cited by 12

Self-supervised Learning for DNA sequences with circular dilated convolutional networks

Cheng, L., Yu, T., Khalitov, R., & Yang, Z. (2024) · Neural Networks

Machine Learning in BioinformaticsGenomics and Chromatin Dynamics

Cited by 12

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Yu, T., Deilamsalehy, H., Zhang, R., Kim, S., & Dernoncourt, F. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 3

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms

Huang, C., Huang, H., Yu, T., Xie, K., Wu, J., Zhang, S., Mcauley, J., Jannach, D., & Yao, L. (2025) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0