Hello! I’m a PhD student in the NLP group at King’s College London, working with Prof. Yulan He and Dr. Lin Gui.

My current research focuses on AI for Scientific Discovery, spanning reliable code reproduction from academic papers and the use of reinforcement learning to help LLM-based agents propose more novel scientific ideas and predict promising research directions. I previously worked as a Research Engineer at Meta Superintelligence Labs, where I contributed to the Muse Glimmer and Muse Spark models.

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News

• Apr. 2026

  COVER was accepted to ICML 2026.

• Jul. 2025

  SciReplicate-Bench was accepted to COLM 2025.

• Jun. 2025

  I gave an invited talk on automatic code reproduction for scientific papers at Meta’s LLaMA Community Meet-up. Event post.

• 2025

  PECAN was accepted to Findings of ACL 2025.

All news

Experience

Meta — Research Engineer (Nov. 2025 – Sep. 2026)

• Core contributor to Muse Glimmer, an open agentic foundation model.
• Contributed to the development of Muse Spark.
• Developed AI Scientist agents: LLM-based systems that automate scientific research tasks and machine learning engineering workflows.

AstraZeneca — Internship (Jul. 2025 – Oct. 2025)

Supervised by Dr. Saseendran and Dr. Jin. Conducted research on efficient inference for diffusion language models. Published COVER at ICML 2026, achieving up to 11.64× decoding speedup while preserving generation quality.

Publications

• Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding [paper] [Code]
  Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He
  In ICML 2026.
• SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers [arXiv] [Code]
  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] [Code]
  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] [Code]
  Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
  In Findings of ACL 2024.
• 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.
• 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.
• 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.
• 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.