Li, Zhongzhi (李忠志)
About me
I received the B.S. degree from the Northeastern University, in 2018.
I am currently a Phd Student, supervised by Professor Cheng-Lin Liu(IEEE/IAPR/CAAI Fellow) in the AI Institute, Chinese Academy of Sciences.
I focus on using AI to solve practical problems. My main research interests include Large Language Model of NLP and Mathematical Reasoning. Also, I do some research of CV, such as MLLM/Neural-Symbolic Learning.
Research
My research interests include:
Current Work
Z. Li* , M. Zhang, F. Yin, C. Liu et al. "CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models". COLING2024(CCF-B) https://arxiv.org/abs/2311.16476. Pending Paper.
Z. Li* , M. Zhang, F. Yin, C. Liu. "LANS: A Layout-Aware Neural Solver for Plane Geometry Problem". ACL2024(CCF-A)
https://arxiv.org/abs/2311.16476.
J. Zhang*, Z. Li*, M. Zhang, F. Yin, C. Liu. "GeoEval: A Diverse and Scalable Benchmark for Large Language Models in Geometric Problem Understanding". ACL2024(CCF-A).
https://arxiv.org/abs/2402.10104.
R. Zhang, J. Hu, Z. L, C. Liu et al. "FGPR: A Large-Scale Dataset for Fine-Grained Product Retrieval."NeurIPS2024(CCF-A) Pending Paper
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M. Zhang, Z. Li, F. Yin, C. Liu. "Fusion, Reason and Verifiy: Solving Geometry Problem with Parsed Clause from Diagram." Artificial Intelligence(CCF-A)
Note: * indicates the first author.
Academic service
Reviewer
Education
Ph.D., Pattern Recognition and Intelligent Systems, Institute of Automation, Chinese Academy of Sciences, 06.2022
Awards: Principal Level Scholarship (1st in admission)
Main Courses: Machine Learning, Neural Networks, Digital Image Processing, Pattern Recognition, Advanced Artificial Intelligent.
B.E., Math, Northeastern University, 06.2018
GPA: 91.6/100, Rank: 1/160
Awards: Northeastern University Comprehensive First Prize Scholarship(top1.5%), Innovation and Entrepreneurship Scholarship(top5%), National College Student Computer Design Competition Third Prize, International College Student Mathematical Modeling Competition Second Prize
Main Courses: C Programming, Computer Network and Communication, Real Variable Functions, Mathematical Analysis, Mathematical Modeling, Machine Learning
Work experience
Research Intern, AGI Group, RED Inc., 06.2024-Present
Hallucination detection in multi-modal large models, model alignment, and efficient reasoning.
Unified generation and understanding in multi-modal large models.
Research Intern, AI Research Lab, TAL, 01.2024-05.2024
Research Intern, WPS-AI, Kingsoft, 11.2023-01.2024
Development of Document Multimodal Large-scale Models and WPS-AI Question-Answering Models.
Research and development of WPS-AI reading and parsing middleware based on LayoutReader, improving WPS-AI performance by 3.7% on the TAT-DQA Benchmark; Fine-tuning Qwen-VL performance on complex form images based on rendering synthesis strategy.
Research Intern, AI Research Institute, MEGVII, 06.2019-Present
Video Structural Analysis and Multi-Object Tracking Algorithm Research.
Constructing a motion pattern anomaly detector based on multimodal information using pedestrian motion characteristics, achieving a 2.3-point improvement on MOT17.
Academic Activities.
Presentation
Scholarship
A brief cv.
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