I am Yulin Chen, a first-year PhD student at New York University, co-advised by Prof. Chen Zhao and Prof. He He. I am generally interested in understanding language model behaviors, particularly on reasoning and representation engineering/alignment. I obtained bachelor and master degrees both from Tsinghua University. During my master, I have worked on prompting and large language model alignment at THUNLP.

News

• [25/05] One paper accpted to ACL 2025 on model merging
• [25/04] One paper released on understanding reasoning models

Education

• Ph.D. in Data Science, New York University, 2024-present
• M.S. in Computer Science, Tsinghua University, 2021-2024
• B.A. in Linguistics, Tsinghua University, 2017-2021

Selected Publications

• Chen, Y., Ding, N., Zheng, H., Liu, Z., Sun, M., Zhou, B. (2023). Empowering Private Tutoring by Chaining Large Language Models. CIKM 2024. Paper
• Ding, N., Chen, Y., Xu, B., Qin, Y., Zheng, Z., Hu, S., Liu, Z., Sun, M., & Zhou, B. (2023). Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP 2023. Paper
• Chen, Y., Ding, N., Wang, X., Hu, S., Zheng, H., Liu, Z., & Xie, P. (2023). Exploring Lottery Prompts for Pre-trained Language Models. ACL 2023. Paper
• Wang, X., Chen, Y., Ding, N., Peng, H., Wang, Z., Lin, Y., Han, X., Hou, L., Li, J., Liu, Z., Li, P., & Zhou, J. (2022). MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP 2022. Paper
• Ding, N., Xu, G., Chen, Y.*, Wang, X., Han, X., Xie, P., Zheng, H., & Liu, Z. (2021). Few-NERD: A Few-shot Named Entity Recognition Dataset. ACL 2021. Paper