Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users’ Questions - Leitura de Artigo 1
Hogan, A., Dong, X.L., Vrandevci'c, D., & Weikum, G. (2025). Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions. Abstract In particular, there remain many open questions regarding how best to address the diverse information needs of users, incorporating varying facets and levels of difficulty. This paper introduces a taxonomy of user information needs, Discussão do ponto de vista das necessidades de informação do usuário. 1 INTRODUCTION These scenarios, and many other observations discussed in the literature, highlight several fundamental limitations of LLMs: (1) Hallucination: LLMs are vulnerable to “inventing” situations, facts, events, etc., that are not based on reality and the underlying data. (2) Opaqueness: It is often unclear what sources are involved in an answer, and how they were combined. (3) Staleness: Due to the computational and energy costs of training LLMs, it is prohibitive to keep them up to date; the...