awesome-all-you-need-papers
github.com/kentonishi/awesome-all-you-need-papers ↗A list of all "all you need" papers. Updated daily using the arXiv API.
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Paper List
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Paper List
- 100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances
Lorenzo Pacchiardi et al.
- 10 hours data is all you need
Zeping Min et al.
- 15 Keypoints Is All You Need
Michael Snower et al.
- 19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
Alexander Bogatskiy et al.
- 1-WL Expressiveness Is (Almost) All You Need
Markus Zopf
- 3D Prior is All You Need: Cross-Task Few-shot 2D Gaze Estimation
Yihua Cheng et al.
Showing a sample of 757 resources. View the full list on GitHub →