Text Editing

Text editing research focuses on developing computational models that efficiently and accurately modify text based on user instructions or implicit goals, such as grammatical error correction, style adjustments, or content simplification. Current efforts concentrate on improving model efficiency (e.g., using sparse architectures), enhancing fluency and coherence in generated text (e.g., through techniques modeling acoustic and prosodic features in speech editing), and leveraging instruction tuning and imitation learning to improve performance and generalization across diverse editing tasks. These advancements have significant implications for improving writing assistance tools, automating various text-processing tasks, and advancing natural language processing research by providing more robust and versatile text manipulation capabilities.