Hello! I’m a PhD student in the NLP group at King’s College London, working with Prof. Yulan He and Dr. Lin Gui. You can reach me at xyz1998seu@gmail.com.

Professional Summary

My current research centers on agentic coding in machine learning and artificial intelligence. I explore methods for reliable code reproduction from academic papers, effective memory management, tool utilization, and the creation of synthetic trajectories to perform supervised fine-tuning and reinforcement learning for improving large language model performance on complex coding tasks.

Experience

• Meta — Contractor (Nov. 2025 – Dec. 2025). Hired by Dr. Yoram Bachrach to develop AI Scientist agents: LLM systems that automate research tasks and machine learning engineering workflows.
• AstraZeneca — Internship (Jul. 2025 – Oct. 2025). Collaborated with Dr. Saseendran and Dr. Jin on generating multiple tokens per decoding step in Diffusion Language Models to accelerate decoding.

Education

• King's College London, London, United Kingdom Sep. 2023 – Jun. 2027 (expected)
  Ph.D. in Computer Science.
  Supervised by Prof. Yulan He with Dr. Lin Gui as co-advisor. Focus areas: large language models, in-context learning, interpretability.
• Southeast University, Nanjing, China Sep. 2020 – Jun. 2023
  M.S. in Software Engineering.
  Average score: 86.42/100. Supervised by Prof. Deyu Zhou with research on question answering and code generation.
• Hefei University of Technology, Hefei, China Sep. 2016 – Jun. 2020
  B.E. in Computer Science and Technology.
  Average score: 90.10/100. Coursework included linear algebra, advanced mathematics, probability theory, data structures, Java programming, software engineering, and internet protocols.

Awards and Honors

• NMES International Studentship (2023 – 2027)
• Outstanding Graduate Student, Hefei University of Technology (2020)
• Merit Student, Hefei University of Technology (2018)

Invited Talks

• Meta, LLaMA Community Meet-up (Apr. 6, 2025): “Towards Automatic Code Reproduction for Scientific Papers: Benchmarks and Methodologies.” [event post]

Competitions

• National First Prize (Top 0.65%), China Undergraduate Mathematical Contest in Modelling (2018). Team-based modeling competition solving open-ended applied problems.
• 1st Place, Spider Leaderboard (2022). Our model G3R achieved the top rank on the “exact set match without values” metric and is currently 5th overall.

Publications

• SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers [arXiv]
  Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He
  In COLM 2025.
• G3R: A Graph-Guided Generate-and-Rerank Framework for Cross-domain Text-to-SQL Generation [paper]
  Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou
  In Findings of ACL 2023.
• Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models [arXiv]
  Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
  In Findings of ACL 2024.
• The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis [paper]
  Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
  In EMNLP 2024.
• A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base QA [paper]
  Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao
  In Findings of EMNLP 2021.
• PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA [paper]
  Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He
  In Findings of ACL 2025.
• Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective [paper]
  Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
  In EMNLP 2024.