WUSTL CSE PhD -- Dr. Huang 招收NLP/LLM/ML方向全奖博士生

导师简介
黄老师PhD毕业于伊利诺伊大学厄巴纳-香槟分校(UIUC)计算机系韩家炜(Jiawei Han)教授组，并曾于华盛顿大学(UW) NLP组进行访问，此前本科毕业于清华大学电子系。研究领域广泛涵盖LLM, NLP, Machine Learning。曾在博士期间获Microsoft Research PhD Fellowship。计划招收2-3名2025秋季入学的PhD学生，以及多名实习生（不限开始时间，可远程）。

主要研究方向
实验室(HINT-lab)的研究方向主要涵盖大语言模型，自然语言处理及机器学习，近期主要关注的方向为：
1.Language Model Trustworthiness and Alignment
a.Improving language model factuality via knowledge integration, retrieval augmented generation, and long-context LLMs
b.Improving language model alignment including, reward modeling, preference optimization, model calibration, etc.
c.Continual learning and knowledge updating within language models
2.Language Model Reasoning
a.Enhancing language model reasoning ability with self-supervision methods
b.Incorporating symbolic reasoning and world knowledge in language models
3.Language Model Efficiency
a.Improving model efficiency in inference/training via parallel techniques
b.Improving data efficiency (low-resource setting) for model training with self-improving techniques
4.Cross-disciplinary NLP
a.Multi-modal language models (e.g., vision, audio, etc.)
b.Language models for specific domains (e.g., medical science and psychology)
 
招生信息
1.计划招收2-3名PhD博士生（25Fall, 提供全额奖学金RA)，及多名intern(year-round)，欢迎有意愿的同学填写forms.gle，如果邮件联系([email protected])也请注明已经填写该表。
2.25 Fall PhD申请者可参加engineering.washu.edu，参加任意department任意一场phd或master session可免除研究生申请费；欢迎在cse.wustl.edu提交申请，将我列为你感兴趣的导师。申请截止日期为12月15日。
3.优先考虑有较强数理及编程基础或有相关科研经历的学生。
4.组内有优秀硬件资源(A100 GPUs)供学生使用。