Libo QinLibo Qin
Associate Professor · PhD Supervisor
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)
qinlibo [at] hit.edu.cn
About
Libo Qin is an Associate Professor, PhD Supervisor, and Xiaomi Young Scholar at the School of Computer Science and Technology / Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen). He currently serves as Deputy Director (Former Secretary-General) of the Youth Working Committee of the Chinese Information Processing Society of China. His main research interests include natural language processing, large language model (LLM) reasoning, and LLM agents. He has published multiple papers in top international journals and conferences in artificial intelligence and natural language processing, including TPAMI, NeurIPS, ICLR, ICML, and ACL.
His research has been selected as Paper Digest influential papers, and has received a nomination for the Young Outstanding Paper Award at the World Artificial Intelligence Conference and the Best Paper Award at the EMNLP 2022 MMNLU Workshop. He has been selected for the China Association for Science and Technology Young Elite Scientists Sponsorship Program, Stanford's "World's Top 2% Scientists" list, the 1st ByteDance Scholarship, and the Global Top 100 Rising Chinese AI Stars, among others. He has long served as a (Senior) Area Chair for major international conferences such as NeurIPS, ICLR, ACL, and EMNLP. He has also (co-)mentored multiple students who received honors such as the CAST Young Science and Technology Talent Development Program for PhD students, CCF Outstanding Undergraduate Student Award, National Scholarship, and the Hong Kong PhD Fellowship Scheme.
Join Us
Open Positions
The group is continuously recruiting students of the following types. Contact: qinlibo [at] hit.edu.cn
PhD Students
Master's Students
Postdoctoral Researchers
Research Interns (Undergraduate and above)
Requirements and Support
Requirements
- Strong self-motivation and the ability to proactively advance research.
- Stable and sustained interest in research, with willingness to invest in long-term training.
- Applicants whose sole goal is obtaining a degree are not encouraged to contact us.
Support for Outstanding Candidates
- Priority consideration for recommended admission slots for master's-to-PhD tracks and application-assessment PhD programs in our group.
- Recommendations for internship opportunities at companies such as ByteDance, Tencent, Alibaba, and Huawei.
- Recommendations for PhD opportunities at universities in Singapore, the United States, Canada, and other countries.
Student Mentorship (Selected)
Fuxuan Wei
Master's · Harbin Institute of TechnologyNow working at Kuaishou Technology and selected for the Kuai STAR Program.
Tianbao Xie
Undergraduate · Harbin Institute of TechnologySelected for MIT Technology Review's "A25" list of AI Innovators Under 25, incoming at Meta, and recipient of the Hong Kong PhD Fellowship Scheme.
Qiguang Chen
Undergraduate · Harbin Institute of TechnologyNow pursuing a PhD at Harbin Institute of Technology and selected for the CAST Young Science and Technology Talent Development Program for PhD students.
Lehan Wang
Undergraduate · Harbin Institute of TechnologyNow pursuing a PhD at HKUST and recipient of the Hong Kong PhD Fellowship Scheme.
Student Honors
Published Translations
Build a Large Language Model from Scratch
Centered on the core mechanisms and engineering implementation of large language models, this book progressively covers text processing, attention mechanisms, model training, and finetuning practice. It is suitable for beginners who hope to understand LLM principles and workflows by implementing them from scratch.
Natural Language Processing: A Machine Learning Perspective
This book systematically reviews modern natural language processing methods from a machine learning perspective, covering fundamental modeling, representation learning, deep learning, and pretraining paradigms. It is suitable as a reference for senior undergraduates, graduate courses, and beginners interested in NLP research.
Selected Publications
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models.
What are the essential factors in crafting effective long context multi-hop instruction datasets? Insights and best practices.
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models.
