D-GARA
D-GARA is a dynamic benchmarking framework for evaluating the robustness of GUI agents against real-world anomalies.
Category: Concepts
GUI Agent
A GUI agent is an intelligent software entity designed to interact with graphical user interfaces, performing tasks typically executed by human users.
long video understanding
The task of analyzing and interpreting long-duration video content for various applications, such as summarization or event detection.
attention mechanisms
Techniques in neural networks that allow models to focus on specific parts of the input data when making predictions.
state-space models
Mathematical models that describe a system using state variables and equations governing their evolution over time.
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.
Mamba-Transformer
A hybrid model architecture that combines the efficiency of state-space models with the expressivity of attention mechanisms.
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.