Multimodal Models (LMMs)
Models that can process and integrate information from multiple modalities, such as text and images.
Category: Concepts
Proposer
The Proposer is an agent in the EvoLMM framework that generates diverse, image-grounded questions.
OpenCyc
OpenCyc is an open-source version of the Cyc knowledge base and inference engine, designed to provide a rich representation of common knowledge.
EvoLMM
EvoLMM is a self-evolving framework for training large multimodal models using continuous self-rewarding processes.
Statistical Language Models
Statistical language models are probabilistic models that predict the likelihood of sequences of words in a language.
Symbolic Natural Language Understanding
Symbolic natural language understanding involves the use of symbolic representations and rules to interpret and understand human language.
Solver
The Solver is an agent in the EvoLMM framework that answers questions generated by the Proposer through internal consistency.
Benchmarking
Benchmarking is the process of comparing performance metrics of systems or models against a standard or set of criteria.
Word Sense Disambiguation
Word sense disambiguation is the process of determining which meaning of a word is activated by its use in a particular context.
Anomaly Detection
Anomaly detection is the process of identifying unexpected or irregular patterns in data that do not conform to expected behavior.