My research interest focuses on LLM and Agent, with an emphasis on
fundamental capabilities (world knowledge & complex reasoning) of LLM and
agent applications, specifically:
我的研究兴趣集中在大语言模型（LLM）和智能体（Agent），特别关注
大语言模型的基础能力（世界知识和复杂推理）以及
智能体应用，具体包括：
- Enhancing internal reasoning capabilities: Through continue pre-training (CPT), supervised fine-tuning
(SFT), and reinforcement learning (RL) training, expand the knowledge boundaries of LLMs and enhance
the inherent general reasoning abilities of LLMs (such as encyclopedic knowledge, mathematics, and
code).
- Enhancing the ability to call external tools: Improve the ability of LLMs to call external tools (such
as code, calculators, and search engines).
- Agent applications in vertical fields: Enhance the application of LLM-based agent in vertical scenarios,
such as complex structured data (such as knowledge graphs, databases, Excel spreadsheets, and tables),
general retrieval scenarios (such as AI Searcher, Deep Research), etc.
- 增强内部推理能力：通过持续预训练（CPT）、监督微调（SFT）和强化学习（RL）训练，拓展大语言模型的知识边界，提升大语言模型固有的通用推理能力（如百科知识、数学和代码）。
- 增强调用外部工具的能力：提高大语言模型调用外部工具（如代码、计算器和搜索引擎）的能力。
- 垂直领域的智能体应用：增强基于大语言模型的智能体在垂直场景中的应用，如复杂结构化数据（如知识图谱、数据库、Excel电子表格和表格），通用检索场景（如AI搜索器、深度研究）等。
I am currently seeking job opportunities in both academic and industry. I am expected to graduate in July
2026. If you are interested in me, please do not hesitate to contact me via Email.
我目前正在寻找学术界和工业界的工作机会。我预计将于2026年7月毕业。如果您对我感兴趣，请通过邮件联系我。
