Evidence Retrieval

Evidence retrieval focuses on efficiently identifying and extracting relevant information from large text corpora to support downstream tasks like question answering and fact verification. Current research emphasizes improving retrieval accuracy and efficiency, particularly for complex queries and multimodal data, often employing large language models (LLMs) and graph neural networks to enhance semantic understanding and contextual reasoning. These advancements are crucial for combating misinformation, improving access to information in specialized domains (like medicine), and enabling more robust and explainable AI systems.