The field of information retrieval has been rapidly transformed by AI technologies, especially large language model (LLM) agents with strong reasoning, planning, and conversational capabilities. These AI agents have improved how information is retrieved, processed, and personalized across search and recommendation systems. Despite these advances, important challenges remain, including relevance, bias mitigation, real-time response, and data security. This workshop aims to bring together researchers and practitioners to discuss recent advances, practical applications, and future directions of AI agents in information retrieval, while encouraging collaboration and knowledge exchange within the community.
Qingsong Wen, P. Mehrotra, Yongfeng Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
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