Kaiyan Chang

According to our database, Kaiyan Chang authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

CoRR, 2024

Efficient Prompting Methods for Large Language Models: A Survey.

Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu

CoRR, 2024

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Hybrid Alignment Training for Large Language Models.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning Evaluation Models from Large Language Models for Sequence Generation.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, 2023

ChipGPT: How far are we from natural language hardware design.

Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2023

Full State Quantum Circuit Simulation Beyond Memory Limit.

Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2021

ArchNet: A data hiding design for distributed machine learning systems.

Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan

J. Syst. Archit., 2021

2020

ArchNet: Data Hiding Model in Distributed Machine Learning System.

Kaiyan Chang, Wei Jiang, Zicheng Gong, Xiangyu Wen, Zhiyuan He, Weijia Pan

CoRR, 2020