AIBullisharXiv – CS AI · 5h ago7/10
🧠
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
A comprehensive survey examines latent space as an emerging computational substrate for language models, arguing that continuous latent representations are more efficient than explicit token-level generation for critical internal processes. The research identifies four mechanistic developments (architecture, representation, computation, optimization) and seven capability areas (reasoning, planning, modeling, perception, memory, collaboration, embodiment) that latent space enables.