Tag: Concept

Models that can process and integrate information from multiple modalities, such as text and images.

The Proposer is an agent in the EvoLMM framework that generates diverse, image-grounded questions.

OpenCyc is an open-source version of the Cyc knowledge base and inference engine, designed to provide a rich representation of common knowledge.

The Solver is an agent in the EvoLMM framework that answers questions generated by the Proposer through internal consistency.

Word sense disambiguation is the process of determining which meaning of a word is activated by its use in a particular context.

Anomaly detection is the process of identifying unexpected or irregular patterns in data that do not conform to expected behavior.

Techniques in neural networks that allow models to focus on specific parts of the input data when making predictions.

Mathematical models that describe a system using state variables and equations governing their evolution over time.

The process by which information flows from vision tokens to text tokens across layers in a model, revealing token redundancy.

Experiential Learning refers to the process of learning from past experiences to improve future decision-making.