Content Selection

Content selection, the process of choosing which information to include in a generated text, is a critical challenge across various natural language processing tasks, from summarization to recipe generation. Current research focuses on improving the faithfulness and completeness of selected content, particularly in long-form generation, using techniques like large language models and rule-based systems, and addressing biases inherent in selection processes, especially in news coverage. These advancements are crucial for enhancing the reliability and utility of AI-generated text across diverse applications, ranging from informative summaries to unbiased news reporting.