Displaying 263 resources


Representation Learning for Natural Language Processing
Provides a comprehensive overview of the representation learning techniques for natural language processing.
Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning.
Shares insights into


A Survey of Large Language Models
This survey highlights the complexity of language and the challenge of developing AI algorithms capable of understanding and generating language.


Algorithms for manifold learning
The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).



From Images to Text New forms of Human-AI Interaction
Recent progress in the Computer Vision and Natural Language Processing communities have made it possible to connect Vision and Language together in a variety of different tasks which lie at the intersection of Vision, Language, and Embodied AI.


A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society.


The Silent (R)evolution of SAT
The Propositional Satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness.