WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations

arXiv:2403.01774v1 Announce Type: new
Abstract: Enhancing the attribution in large language models (LLMs) is a crucial task. One feasible approach is to enable LLMs to cite external sources that support their generations. However, existing datasets and evaluation methods in this domain still exhibit notable limitations. In this work, we formulate the task of attributed query-focused summarization (AQFS) and present WebCiteS, a Chinese dataset featuring 7k human-annotated summaries with citations. WebCiteS derives from real-world user queries and web search results, offering …

abstract arxiv attribution chinese citations cs.cl datasets domain evaluation language language models large language large language models limitations llms query results search search results summarization support type web web search work