The author introduces WebCiteS, a dataset for attributed query-focused summarization, highlighting the challenges faced by large language models in correctly citing sources and emphasizing the need for improvement.
Large language models face challenges in correctly citing sources, emphasizing the need for improvement.
Enhancing attribution in large language models is crucial for accurate citations and grounded summaries.