Si, Chenglei

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Si, C., Yang, D., & Hashimoto, T. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 48

Best Practices and Lessons Learned on Synthetic Data

Liu, R., Wei, J., Liu, F., Si, C., Zhang, Y., Rao, J., Zheng, S., Peng, D., Yang, D., Zhou, D., et al. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 21

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 17

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Si, C., Zhang, Y., Li, R., Yang, Z., Liu, R., & Yang, D. (2024) · arXiv

Software Engineering ResearchMultimodal Machine Learning Applications

Cited by 4

The Last Human-Written Paper: Agent-Native Research Artifacts

Liu, J., Pei, J., Huang, J., Si, C., Qu, A., Tang, X., Lu, R., Chen, L., Bai, X., Zheng, H., et al. (2026) · arXiv

Scientific Computing and Data ManagementAcademic Writing and Publishing

Cited by 0