Thinking Token

"Thinking tokens" represent a research area focused on improving large language models (LLMs) by augmenting their reasoning capabilities and addressing limitations stemming from their autoregressive nature. Current research explores methods like incorporating specialized tokens to enhance mathematical computation and incorporating retrieval mechanisms from massive datasets to improve context understanding and knowledge access, often within optimized architectures like Vision Transformers (ViTs) or through algorithm-system co-design for efficient on-device processing. This work aims to create more powerful and efficient LLMs, impacting fields ranging from natural language processing and computer vision to mobile applications and specialized domains like scientific document analysis.