Chang, Kevin Chen-Chuan

A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

Cai, H., Zheng, V. W., & Chang, K. C.-C. (2018) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 2,034

Towards Reasoning in Large Language Models: A Survey

Huang, J., & Chang, K. C.-C. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 428

Towards Reasoning in Large Language Models: A Survey

Huang, J., & Chang, K. C.-C. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 428

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Li, J., Hui, B., Qu, G., Yang, J., Li, B., Li, B., Wang, B., Qin, B., Cao, R., Geng, R., et al. (2023) · arXiv

Topic ModelingAdvanced Database Systems and Queries

Cited by 278

Optimal multimodal fusion for multimedia data analysis

Wu, Y., Chang, E. Y., Chang, K. C.-C., & Smith, J. R. (2004) · Proceedings of the 12th annual ACM international conference on Multimedia

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 229

Citation: A Key to Building Responsible and Accountable Large Language Models

Huang, J., & Chang, K. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 72

Why Does ChatGPT Fall Short in Providing Truthful Answers?

Zheng, S., Huang, J., & Chang, K. C.-C. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 40

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Huang, J., Ping, W., Xu, P., Shoeybi, M., Chang, K. C.-C., & Catanzaro, B. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5