Can AI help me improve the citation format in my thesis?

AI tools can assist with automating citation format improvements in academic theses. This application is technically feasible, particularly for correcting known formatting issues within existing reference lists. These tools typically function by recognizing citation elements (author, title, publication details) and applying specific style guide rules (e.g., APA, MLA, Chicago). Necessary conditions include providing the AI with complete, accurate citation metadata and specifying the desired style upfront. Their strength lies in correcting common errors like punctuation, capitalization, or element ordering. However, a fundamental limitation is their dependence on the initial metadata quality; incomplete or incorrect input data leads to flawed outputs. Users must remain cautious of potential errors introduced by the AI, especially with non-standard source types. They offer substantial practical value by automating tedious formatting tasks, significantly saving researcher time and reducing manual errors during drafting and revisions. This is most beneficial for applying consistent style across a large bibliography or when changing the required citation style mid-project. Integration with reference management software (e.g., Zotero, Mendeley) enhances this workflow. Researchers should always meticulously verify the AI-generated output against the official style guide before thesis submission.