🎉 Congratulations on COLING 2025 Paper Acceptance!
Our paper “MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation” has been accepted by COLING 2025! 🎉
🚀About Me
I am an undergraduate student majoring in Artificial Intelligence at Beijing University of Posts and Telecommunications, with a strong interest in Natural Language Processing. I have excellent academic performance (average score of 89.34). I possess strong self-learning capabilities, research and engineering practice abilities, communication skills, and a positive attitude. I have rich experience in scientific research, having participated in multiple projects.
Interests
- Artificial Intelligence
- Natural Language Processing
- Knowledge Distillation
Education
MEng Artificial Intelligence
University of Chinese Academy of Sciences
BSc Artificial Intelligence
Beijing University of Posts and Telecommunications
📚 My Research
I am a student at the Institute of Computing Technology, Chinese Academy of Sciences. My current research interests focus on natural language processing and multimodal learning.
I am dedicated to exploring innovative approaches to improve model performance and uncover their potential in real-world applications.
Feel free to reach out if you’re interested in collaboration! 😃
Featured Publications
Recent Publications
(2025).
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation.
Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).
(2024).
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory.
arXiv preprint arXiv:2408.10497.
(2024).
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.
The 30th China Conference on Information Retrieval (CCIR 2024).
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