A recent study indicates that the widespread adoption of large language models (LLMs) has led to a significant increase in fabricated references within academic writing. These citation errors are particularly common in fields with high AI uptake, in papers showing signs of AI-assisted authorship, and among less experienced researchers. Furthermore, these hallucinations tend to disproportionately credit established and male scholars, potentially exacerbating existing biases in academic recognition. AI
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IMPACT LLM use in academic writing may introduce bias and reduce citation integrity, impacting research credibility.
RANK_REASON The cluster contains an academic paper detailing research findings on the impact of LLMs. [lever_c_demoted from research: ic=1 ai=1.0]