Wenyang Tang

• yang.t.skywalker [at] gmail.com
• notoookay
• @wenyang_t

Hi 👋, I'm an NLP/ML engineer working in industry, focused on building reliable, practical systems with Large Language Models. I enjoy bridging research and engineering — turning ideas from the literature into systems that hold up in real-world applications. Previously, I was an MS student researching Natural Language Processing (NLP), with a focus on improving the factuality and reliability of Large Language Models.

My interests include:

1. Retrieval-Augmented Language Models: I'm exploring ways to enhance the performance of large language models by efficiently retrieving and incorporating relevant information from external knowledge sources.
2. LLM Agents: I'm interested in designing and building LLM-powered agents — combining reasoning, tool use, and retrieval to tackle complex, multi-step tasks reliably.

Feel free to reach out if you're interested in discussing NLP, LLM agents, or potential collaborations.

Publications

• Internal Activations Reveal LLMs’ Context Faith: A Linear Direction for Context Distrust Control

  Fengwen Zhai, Wenyang Tang, Jing Jin, Hu Han, Xiangde Jiang, Zhicheng Han

  KnowFM @ ACL 2026 Workshop

  [paper coming soon] [code]

  [citation]

  @inproceedings{
    zhai2026internal,
    title={Internal Activations Reveal {LLM}s{\textquoteright} Context Faith: A Linear Direction for Context Distrust Control},
    author={Fengwen ZHAI and Wenyang Tang and Jin Jing and Xiangde Jiang and Zhicheng Han},
    booktitle={4th Workshop on Towards Knowledgeable Foundation Models at ACL 2026},
    year={2026},
    url={https://openreview.net/forum?id=OarPb3fqy0}
  }

• RAG-LER: Ranking Adapted Generation with Language-model Enabled Regulation

  Fengwen Zhai, Wenyang Tang, Jing Jin

  Neurocomputing, 2025

  [paper] [code]

  [citation]

  @article{ZHAI2025131514,
    title = {RAG-LER: Ranking adapted generation with language-model enabled regulation},
    journal = {Neurocomputing},
    volume = {656},
    pages = {131514},
    year = {2025},
    issn = {0925-2312},
    doi = {https://doi.org/10.1016/j.neucom.2025.131514},
    url = {https://www.sciencedirect.com/science/article/pii/S0925231225021861},
    author = {Fengwen Zhai and Wenyang Tang and Jing Jin},
    keywords = {Language modeling, Retrieval augmented generation, Information retrieval, Re-ranking}
  }