Hi, I am a first-year Ph.D. student at UNC-Chapel Hill advised by Prof. Zhun Deng. Before joining UNC, I completed my Master’s degree in Computer Science at Georgia Tech. I am also fortunate to collaborate with researchers of UIUC, Microsoft, and NEC Laboratories America. Currently, my research focuses on LLM Reasoning, Active Learning, and Trustworthy AI. I am particularly interested in:

• Integrating external knowledge and tools to enhance the reasoning and planning capabilities of foundation models;
• Leveraging LLMs with active learning to drive human-in-the-loop acquisition and evaluation, allocating feedback where it most improves reliability and calibration.

[Resume] [Google Scholar]

I am actively seeking 2026 summer internships. If you have or know of any opportunities that align with my interests, I would be grateful if you could contact me at ruomeng@cs.unc.edu. I am very interested in discussing any potential opportunities. Thank you!

📝 Selected Publications

• AAAI 2026 SkillGen: Learning Domain Skills for In-Context Sequential Decision Making, Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao (Oral) [paper] [code]

• ACL 2024 Everything of thoughts: Defying the law of penrose triangle for thought generation, Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper] [code]

• NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs, Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang [paper] [code]

• ESEC/FSE 2023 TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems, Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper]

• KDD 2023 Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback, Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper]

• VLDB 2023 Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection, Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper] [code]

💻 Internships

• 2024.05 - 2024.08, Microsoft Research, Redmond, WA.
• 2022.11 - 2023.08, Microsoft Research Asia, Beijing, China.

🎖 Honors and Fellowships

• Doctoral Merit Fellowship, University of North Carolina at Chapel Hill, 2025–2026
• Merit Scholarship, Georgia Institute of Technology, 2022-2023