The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR). Distinguished from its predecessors, ChatGPT offers significant benefits that have attracted the attention of both the industry and academic communities. While some view ChatGPT as a groundbreaking innovation, others attribute its success to the effective integration of product development and market strategies. The emergence of ChatGPT, alongside GPT-4, marks a new phase in Generative AI, generating content that is distinct from training examples and exceeding the capabilities of the prior GPT-3 model by OpenAI. Unlike the traditional supervised learning approach in IR tasks, ChatGPT challenges existing paradigms, bringing forth new challenges and opportunities regarding text quality assurance, model bias, and efficiency. This paper seeks to examine the impact of ChatGPT on IR tasks and offer insights into its potential future developments.

翻译：人工智能（AI）的快速发展使ChatGPT成为信息检索（IR）领域的一项关键技术。与其前代模型不同，ChatGPT展现出显著优势，吸引了工业界和学术界的广泛关注。尽管部分学者视ChatGPT为突破性创新，另一些学者则将其成功归因于产品开发与市场策略的有效整合。ChatGPT与GPT-4的崛起标志着生成式AI进入新阶段，其生成内容不仅与训练样本存在差异，更超越了OpenAI前代模型GPT-3的能力边界。与传统信息检索任务中采用的监督学习方法不同，ChatGPT对现有范式提出了挑战，在文本质量保障、模型偏差和效率问题方面带来了新挑战与机遇。本文旨在探讨ChatGPT对信息检索任务的影响，并对其未来发展趋势提供见解。