Academic Misconduct
Behavior that violates ethical norms in academic research, including fabrication and falsification, and that undermines academic integrity.
Timeline (last 90 days)
As long as the model architecture, hyperparameters, data splits, and random seed settings are consistent with the paper's description, retraining the model itself does not constitute academic misconduct.
Academic misconduct includes fabrication, falsification and plagiarism, among which fabricating and falsifying data are the hardest forms to detect through text-based peer review.
Common red lines for academic misconduct include: directly submitting AI-generated full text without labeling it, using it in exams or assignments where AI is explicitly prohibited, and fabricating citations or data sources.
All Facts (3)
As long as the model architecture, hyperparameters, data splits, and random seed settings are consistent with the paper's description, retraining the model itself does not constitute academic misconduct.
50%UnverifiedAcademic misconduct includes fabrication, falsification and plagiarism, among which fabricating and falsifying data are the hardest forms to detect through text-based peer review.
50%UnverifiedCommon red lines for academic misconduct include: directly submitting AI-generated full text without labeling it, using it in exams or assignments where AI is explicitly prohibited, and fabricating citations or data sources.
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