Creative Natural Language Generation
A subfield of natural language processing focused on generating creative and contextually relevant text.
Category: NLP
Visual Language Model
A model that integrates visual and textual information to perform tasks that require understanding both modalities.
Vision-Language Model
A model that integrates visual and textual information to understand and generate content based on multimodal inputs.
Mamba-Transformer
A hybrid model architecture that combines the efficiency of state-space models with the expressivity of attention mechanisms.
Multimodal Embedding
A technique that represents data from multiple modalities (e.g., text and images) in a unified vector space.
Mamba-Attention
A hybrid attention mechanism that enhances the efficiency and performance of large language models.
Meta-Analysis of LLM Reasoning Papers
A comprehensive review and synthesis of existing research on reasoning behaviors in large language models.
Large Language Model
Large language models are advanced neural network architectures trained on vast amounts of text data to understand and generate human-like text.
CLIP (Contrastive Language-Image Pretraining)
CLIP is a model that learns visual concepts from natural language descriptions, enabling it to understand images and text in a unified manner.
Transformer
A neural network architecture based on attention mechanisms