Higher precision in noisy screening signals can reduce decision accuracy by prompting increased strategic mimicry from low-quality agents.
arXiv preprint arXiv:2004.03865 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Random team assignments in a professional firm reveal that indirect ties strongly increase new direct tie formation, while effects of degree and local density are smaller and less robust.
In a game-theoretic model of ML contests, low-type contestants engage in benchmark hacking while high-types focus on creative effort, with more skewed rewards improving overall outcomes.
citing papers explorer
-
Pitfall of Precision in Noisy Signaling
Higher precision in noisy screening signals can reduce decision accuracy by prompting increased strategic mimicry from low-quality agents.
-
Causal inference for social network formation
Random team assignments in a professional firm reveal that indirect ties strongly increase new direct tie formation, while effects of degree and local density are smaller and less robust.
-
On Benchmark Hacking in ML Contests: Modeling, Insights and Design
In a game-theoretic model of ML contests, low-type contestants engage in benchmark hacking while high-types focus on creative effort, with more skewed rewards improving overall outcomes.