Aligning Large Language Models with Searcher Preferences
将大型语言模型对齐于搜索者偏好
机构 * School of Artificial Intelligence and Data Science, University of Science and Technology of China(中国科学技术大学人工智能与数据科学学院) ; Xiaohongshu Inc.(小红书公司) ; Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)人工智能研究所) ; Department of Computer Science and Engineering, The Hong Kong University of Science and Technology(香港科技大学计算机科学与工程系)
AI总结 SearchLLM通过分层多维奖励系统提升开放式生成搜索的鲁棒性和用户需求对齐能力,实测有效消费率提升1.03%。