- Receptor Mechanisms and Signaling
- EEG and Brain-Computer Interfaces
- Advanced Electrical Measurement Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Nicotinic Acetylcholine Receptors Study
- Magnetic confinement fusion research
- Neurotransmitter Receptor Influence on Behavior
- Particle accelerators and beam dynamics
- Human Pose and Action Recognition
Beijing University of Posts and Telecommunications
2024
Kagoshima University
1992-1999
Augmented generation techniques such as Retrieval-Augmented Generation (RAG) and Cache-Augmented (CAG) have revolutionized the field by enhancing large language model (LLM) outputs with external knowledge cached information. However, integration of vector databases, which serve a backbone for these augmentations, introduces critical challenges, particularly in ensuring accurate matching. False matching databases can significantly compromise integrity reliability LLM outputs, leading to...
Image captioning (IC) systems, such as Microsoft Azure Cognitive Service, translate image content into descriptive language but can generate inaccuracies leading to misinterpretations. Advanced testing techniques like MetaIC and ROME aim address these issues face significant challenges. These methods require intensive manual labor for detailed annotations often produce unrealistic images, either by adding unrelated objects or failing remove existing ones. Additionally, they limited test...