Uhh, the elephant in the room for CS/ML publications is that a lot of people hardcore lie on their results page since almost no one tries to reproduce anything.

Uhh, the elephant in the room for CS/ML publications is that a lot of people hardcore lie on their results page since almost no one tries to reproduce anything. I've witnessed folks straight out of their undergrad with literally 1 workshop paper at an ACL track conference get thrown 150K starting offers by no-name startups. Imagine how important it must be to get your first NeurIPS main conference publication. The ROI likely amounts to 300K+ per year, so if anything, I'm surprised that cheating/lies in the academy aren't even more brazen. Dynamics like this are why both Stanford and Harvard's presidents had to step-down for gross academic plagerism/misconduct. 1. https://www.science.org/doi/10.1126/science.359.6377.725 https://www.science.org/doi/10.1126/science.359.6377.725 (2018) 2. https://www.technologyreview.com/2020/11/12/1011944/artificial-intelligence-replication-crisis-science-big-tech-google-deepmind-facebook-openai/ https://www.technologyreview.com/2020/11/12/1011944/artifici... (2020) 3. https://www.nature.com/articles/d41586-023-03817-6 https://www.nature.com/articles/d41586-023-03817-6 (2023, Nature)