About Me

I am currently a PhD student in Computer Science at the University of Science and Technology of China (USTC), advised by Professor Qi Liu . I received my bachelor's degree in Computer Science from USTC. My research focuses on knowledge-driven model reasoning, including Neural Language Processing, Knowledge Graph and LLM Agents.

Currently, I am a visiting student at Nanyang Technological University (NTU), working with Prof. Yongcheng Jing and Prof. Dacheng Tao.

Publications

2026

• CROG: Coverage-aware Reasoning Optimization on Graphs for Multi-hop Question Answering

  Junli Liang, Pengfei Zhou, Rui Lv, Wangqiu Zhou, Qi Song, Xiang-Yang Li. The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Oral Presentation). Accepted.

2025

• ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning [paper]

  Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong. Findings of the Association for Computational Linguistics: EMNLP 2025. Accepted.

• GenAL: Generative Agent for Adaptive Learning [paper]

  Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI'2025, Oral Presentation), Philadelphia, February 25 - March 4, 2025. Accepted.

• GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning [paper]

  Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxian Yan, Linan Yue, Fangzhou Yao. IEEE International Conference on Data Engineering (ICDE'2025, Oral Presentation), Hong Kong SAR, China, May 19 - 23, 2025. Accepted.

2024

• N-gram Nearest Neighbor Machine Translation [paper]

  Rui Lv*, Junliang Guo*, Rui Wang, Xu Tan, Tao Qin, Qi Liu. (*=Equal contribution) IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), May 30, 2024. Published.

Experience

• Visiting PhD Student (Sept 2026 – Present)

  Nanyang Technological University (NTU), working with Prof. Yongcheng Jing and Prof. Dacheng Tao.

• Microsoft Research Intern (Feb 2022 – Sept 2022)

  Worked on the research and development of an n-gram-based k-nearest neighbor machine translation algorithm, contributing to innovative improvements in machine translation systems. Advised by Junliang Guo.

Education

• PhD student (Successive master-doctor program)

  Computer Science and Technology, University of Science and Technology of China. | 2022 – Present

• Bachelor

  Computer Science and Technology, University of Science and Technology of China. | 2018 – 2022

Awards

• National Scholarship (2026)
• First-class Graduate Scholarship (2022/2023/2024/2025/2026)
• Yuan Qing Scholarship (2024)
• National Inspirational Scholarship (2019/2020/2021)