Self Repetition

Self-repetition in various contexts, from text generation to robot-assisted therapy, is a significant research area focusing on understanding its causes and developing methods to mitigate or leverage it. Current research employs diverse approaches, including transformer-based models, contrastive learning algorithms, and novel data sets designed to analyze and address repetition in different modalities (text, video, speech). These efforts aim to improve the quality and fluency of machine-generated content, enhance the effectiveness of rehabilitation techniques, and advance our understanding of information processing in both human and artificial systems.