Open Domain Question Answering

Open-Domain Question Answering refers to the task of answering questions on open-domain datasets, such as Wikipedia. The goal is to extract accurate answers from large amounts of unstructured data using natural language processing techniques to address a wide and diverse range of user queries. This task not only enhances the machine's ability to understand and generate natural language but also has significant application value, such as in intelligent customer service and knowledge retrieval systems, effectively improving the efficiency of information acquisition and user experience. In an adversarial context, ensuring the robustness and security of the system is particularly important.