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Don't Label Twice: Quantity Beats Quality when Comparing Binary
  Classifiers on a Budget

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget

3 February 2024
Florian E. Dorner
Moritz Hardt
ArXiv (abs)PDFHTML

Papers citing "Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget"

4 / 4 papers shown
Title
Some Robustness Properties of Label Cleaning
Some Robustness Properties of Label Cleaning
Chen Cheng
John C. Duchi
12
0
0
14 Sep 2025
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Yuxuan Zhu
Tengjun Jin
Yada Pruksachatkun
Andy K. Zhang
Shu Liu
...
Sarah Schwettmann
Matei A. Zaharia
Ion Stoica
Percy Liang
Daniel Kang
225
3
0
03 Jul 2025
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
Felix Mächtle
Nils Loose
Tim Schulz
Florian Sieck
Jan-Niclas Serr
Ralf Möller
T. Eisenbarth
111
2
0
18 Apr 2025
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data
Florian E. Dorner
Vivian Y. Nastl
Moritz Hardt
ELMALM
189
17
0
17 Oct 2024
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