Citation Generation

Citation generation focuses on automatically creating accurate and contextually relevant citations within text, primarily using large language models (LLMs) to enhance the verifiability and trustworthiness of generated content. Current research emphasizes improving citation accuracy and granularity, addressing issues like hallucination and citation bias, and developing modular toolkits and benchmarks for evaluating different approaches. This field is crucial for improving the reliability of AI-generated text in scientific writing, academic research, and other knowledge-intensive applications, fostering greater transparency and facilitating easier verification of information.