Product Summarization

Product summarization focuses on generating concise and informative summaries of lengthy product descriptions, primarily for e-commerce applications. Current research emphasizes leveraging large language models (LLMs), often enhanced with techniques like retrieval-augmented generation (RAG) or instruction-tuning, to improve the accuracy and controllability of generated summaries. These models are increasingly incorporating multimodal information, such as product images, to create more comprehensive and engaging summaries. This work has significant implications for improving user experience in online shopping and enhancing various e-commerce functionalities, such as product search and recommendation systems.