Length Control

Length control in text and motion generation is a burgeoning research area focused on precisely generating outputs of a specified length, addressing limitations in existing models that often produce outputs deviating from desired lengths. Current research employs diverse approaches, including reinforcement learning coupled with diffusion models for motion control, and instruction-based large language models or modified neural architectures with trainable length control modules for text summarization and captioning. Improved length control is crucial for enhancing the quality and usability of various applications, ranging from robotics and animation to natural language processing tasks like summarization and machine translation.