Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Natural language processing, Graph, Polysemy, and Word (group theory).
Efficient GPT-4V level multimodal large language model for deployment on edge devices
Tool Learning with Foundation Models
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback
CPT: Colorful Prompt Tuning for pre-trained vision-language models
Sparse Low-rank Adaptation of Pre-trained Language Models
Fine-Grained Scene Graph Generation with Data Transfer
Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding
Graph Neural Networks with Generated Parameters for Relation Extraction
Chinese Computational Linguistics