Feb. 23, 2024, 5:42 a.m. | Zhenning Zhang, Yunan Zhang, Suyu Ge, Guangwei Weng, Mridu Narang, Xia Song, Saurabh Tiwary

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.14301v1 Announce Type: cross
Abstract: The advent of large language models (LLMs) brings an opportunity to minimize the effort in search engine result page (SERP) organization. In this paper, we propose GenSERP, a framework that leverages LLMs with vision in a few-shot setting to dynamically organize intermediate search results, including generated chat answers, website snippets, multimedia data, knowledge panels into a coherent SERP layout based on a user's query. Our approach has three main stages: (1) An information gathering phase …

abstract arxiv chat cs.ir cs.lg few-shot framework generated intermediate language language models large language large language models llms organization organize page paper presentation search search engine search results type vision

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