Sequence Generation

Sequence generation focuses on creating ordered sequences of data, such as text, images, or biological sequences, often conditioned on input data or constraints. Current research emphasizes improving efficiency and control in generation, exploring architectures like transformers, state-space models, and diffusion models, along with techniques like analog in-memory computing for faster, lower-power applications. These advancements are impacting diverse fields, including natural language processing, medical image analysis, and drug discovery, by enabling more efficient and accurate generation of complex sequences for various applications. The development of more robust and controllable sequence generation methods is crucial for advancing these fields.