A5103091826- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Legal Education and Practice Innovations
- Artificial Intelligence in Law
- Vehicle License Plate Recognition
- Domain Adaptation and Few-Shot Learning
- Image Retrieval and Classification Techniques
- Geophysical Methods and Applications
- Comparative and International Law Studies
- Machine Learning and ELM
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Xi’an University of Posts and Telecommunications
2022
Large Language Models (LLMs) have achieved impressive results across numerous domains, yet they experience notable deficiencies in legal question-answering tasks. LLMs often generate generalized responses that lack the logical specificity required for expert advice and are prone to hallucination, providing answers appear correct but unreliable. Retrieval-Augmented Generation (RAG) techniques offer partial solutions address this challenge, existing approaches typically focus only on semantic...
Due to the changes of posture, occlusion and illumination intensity in pedestrian images, accuracy re- recognition will be reduced. Researchers have used a large number methods experiments improve recognition, but they did not consider that while improving accuracy, should reduce amount calculation as much possible. In current internet era, mobile terminal devices are very popular, so neural network with computing is suitable for these devices. order solve this problem, paper first proposes...