vision-to-text information aggregation
The process by which information flows from vision tokens to text tokens across layers in a model, revealing token redundancy.
Category: General AI/ML
TransV
A token information transfer module that compresses vision tokens into instruction tokens while preserving multimodal understanding.
Experiential Learning
Experiential Learning refers to the process of learning from past experiences to improve future decision-making.
Multimodal Data Integration
Multimodal Data Integration involves combining data from different sources or modalities to enhance analysis and predictions.
Cross-Modal Similarity-Aware Patch Mining
This technique involves identifying and mining patches of data across different modalities based on their similarities.
Confidence-Aware Patch Mining
Confidence-Aware Patch Mining focuses on evaluating the reliability of mined patches to improve the quality of data used in analysis.
Low-Magnification Screening
Low-Magnification Screening is a method for analyzing pathology images at lower magnifications to identify relevant features.
Chain-of-Thought (CoT)
Chain-of-Thought reasoning involves generating structured reasoning processes to enhance decision-making and explainability.
Dichotomy-Based Multi-Expert Agent Inference
This technique involves retrieving similar cases and integrating multimodal reports with expert predictions through a structured inference process.
SurvAgent
SurvAgent is a hierarchical multi-agent system designed for multimodal survival prediction in oncology.