mlsanityData to 14 Oct 2026

From Zero to Hero: Convincing with Extremely Complicated Math

arXiv 2304.00399 ↗First posted 1 Apr 2023cs.CV cs.AIcited by 1

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Abstract (arXiv)

Becoming a (super) hero is almost every kid's dream. During their sheltered childhood, they do whatever it takes to grow up to be one. Work hard, play hard -- all day long. But as they're getting older, distractions are more and more likely to occur. They're getting off track. They start discovering what is feared as simple math. Finally, they end up as a researcher, writing boring, non-impressive papers all day long because they only rely on simple mathematics. No top-tier conferences, no respect, no groupies. Life's over. To finally put an end to this tragedy, we propose a fundamentally new algorithm, dubbed zero2hero, that turns every research paper into a scientific masterpiece. Given a LaTeX document containing ridiculously simple math, based on next-generation large language models, our system automatically over-complicates every single equation so that no one, including yourself, is able to understand what the hell is going on. Future reviewers will be blown away by the complexity of your equations, immediately leading to acceptance. zero2hero gets you back on track, because you deserve to be a heroTM. Code leaked at urlhttps://github.com/mweiherer/zero2hero.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 1 Apr 2023.

Builds on

5 of 12 references.

References · 5

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2016Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Imagecited by 695
  3. 2017A General and Adaptive Robust Loss Functioncited by 236
  4. 2021Simpler Does It: Generating Semantic Labels with Objectness Guidancecited by 1
  5. 2023Author-Unification: Name-, Institution-, and Career-Sharing Co-authorscited by 1

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Citing papers per year: 2024: 1.

1 paper.