My name is Jinxiang Xie (pronounced “JIN-shee-ahng SHEE-eh”). I am an incoming graduate student at Nanjing University. I earned my Bachelor’s degree in Information and Computing Science from Beijing Jiaotong University. Currently, I am a research intern at Microsoft, where I have the privilege of working with Principal Researcher Justin Ding. Prior to this, I gained valuable research experience at Peking University under the guidance of Prof. Xiaojun Wan.

My research focuses on leveraging Large Language Models to address complex systems. This includes applications in natural language processing for unstructured data, quantitative trading, and advancing scientific discovery.

I am actively seeking research assistant opportunities in LLM applications and natural language processing. Feel free to reach out, or learn more from My CV.

AI Researcher

  • Research focus on LLMs and NLP
  • Internships at top institutions
  • Publications at AAAI, ACL

Content Creator

Life Explorer

  • Visited 9 countries worldwide
  • Traveled to 32 provinces in China
  • Rich experience in social work

News

  • 2024.12:  🎉🎉 One paper is accepted by The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25). See you in Philadelphia!
  • 2024.08:  I have joined Microsoft as a Research Intern under the guidance of Principal Researcher Justin Ding, where I focus on evaluating and enhancing LLM outputs.

Publications

AAAI 2025
DSGram Paper

DSGram: Dynamic Weighting Sub-Metrics for Grammartical Error Correction in the Era of Large Language Models

Jinxiang Xie, Yilin Li, Xunjian Yin, Xiaojun Wan
In The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25)

Educations

  • 2025.09 - Present:  Master of Science at Kuang Yaming Honors School, Nanjing University.
  • 2021.09 - 2025.06:  Bachelor of Science in Information and Computing Science, Beijing Jiaotong University.

Internships

Blogs

June, 2025
The Limits of My Language Mean the Limits of My World
The Limits of My Language Mean the Limits of My World
Drawing on Wittgenstein's philosophy, a recent paper argues that our existing language might be the fundamental bottleneck.
January, 2025
Beyond the Future of AI
Beyond the Future of AI: The Dreams and Deceptions of Cryptocurrency
My vision of the future: from Bitcoin to an AGI-driven decentralized society. We must design a more sophisticated trust mechanism than blockchain to install “guardrails” for AI.
November, 2024
LexiMind
LexiMind: An Open-Source LLM-Powered Vocabulary Builder
LexiMind is an AI-powered vocabulary builder that integrates LLM-based translation with smart word retention.
July, 2024
NLP Learning Path
My NLP Learning Path as a Mathematics Undergraduate Student
I share my learning path and some insights on natural language processing as a mathematics undergraduate student.
November, 2023
LLMs Technology
LLMs: Cutting-Edge Technology and Future Applications
My notes from a presentation on LLMs at the Gaoling School of Artificial Intelligence, Renmin University of China.
August, 2023
Prompt Engineering
Prompt Engineering: How to Better Ask LLMs
Introduce a number of methods for optimizing the output of large language models and reducing the probability of irrelevant or incorrect responses.