Recommender systems are essential to real-world online services due to their substantial business value. Increasingly, large language models (LLMs) have been adopted for recommendation tasks, owing to their strong reasoning capabilities and their effectiveness in handling cold-start items. A large body of work has soug...
Sunwoo Kim, Geon Lee, Kyungho Kim et al.· Proceedings of the 32nd ACM...· 0 citations
This work argues that AI agent societies should be studied as a distinct object of inquiry: neither simply collections of individual agents nor merely simulations of human society, and proposes four core properties that a valid AI agent society should satisfy: individualized objectives, rules and governance, autonomy,...
Geon Lee, Fanchen Bu, Soo-Yong Lee et al.· Proceedings of the 32nd ACM...· 1 citation
CoRRe is proposed, a training-free recommendation framework with a post-LLM paradigm that injects CF signals into LLM-generated item representations, which are later matched with LLM-generated user interests for ranking.
Kyungho Kim, Sunwoo Kim, Ge-On Lee et al.· 0 citations
AI agents are rapidly evolving from isolated personal assistants into networked actors that interact with one another at scale. We envision the emergence of AI agent societies, with their own social and economic dynamics, as a new research frontier. We argue that AI agent societies should be studied as a distinct objec...
Geon Lee, Fanchen Bu, S. Lee et al.· Proceedings of the 32nd ACM...· 1 citation
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