Answer Summarization

Answer summarization focuses on generating concise, informative summaries of multiple answers to a single question, particularly within online forums like those dedicated to healthcare. Current research emphasizes creating summaries that capture diverse perspectives and aspects within the answers, often employing techniques like aspect-based summarization and prompt-driven controllable models, sometimes enhanced by reinforcement learning for improved factual consistency. This work is significant because it improves information access and usability in large question-answering datasets, particularly in domains like healthcare where nuanced understanding of multiple viewpoints is crucial.