The peer‐review process in economics faces two well‐documented challenges: a shortage of willing referees, and prolonged turnaround times. We examine whether large language models (LLMs) can help to address these inefficiencies without introducing systematic bias, using two pre‐registered experiments across four LLMs...
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Achiwaranguprok et al.· Económica· 0 citations
It is suggested that explicit recognition of conversational dark patterns and behavioral resistance to AI steering may be distinct outcomes, motivating further investigation of timely, low-friction defensive interfaces.
Rachel Poonsiriwong, Chayapatr Archiwaranguprok, Constanze Albrecht et al.· 0 citations
It is found that different LLMs represent these subtypes differently, with either more aligned or more distinct representations, and this insight is applied to improve representational interventions for reducing sycophancy.
Anthony Baez, Sheer Karny, Pat Pataranutaporn· arXiv.org· 4 citations
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