Based Retrieval

Based retrieval focuses on efficiently retrieving relevant information from large text corpora to answer complex questions, moving beyond simple keyword matching. Current research emphasizes developing models capable of handling multi-step reasoning, logical inference within retrieval, and incorporating diverse information sources (e.g., multimodal data). This area is crucial for advancing question answering systems and other NLP applications requiring in-depth understanding and reasoning over extensive knowledge bases, ultimately improving the accuracy and explainability of AI systems.