Cognitive science trick makes crowdsourced AI training data dramatically more accurate
Researchers show that recalibrating crowdsourced probability judgments with a cognitive model of human bias makes medical image datasets and the ...
Researchers show that recalibrating crowdsourced probability judgments with a cognitive model of human bias makes medical image datasets and the ...
A new study proposes using Bayesian reasoning problems, with their well-established human performance ceilings, as calibrated detectors of large language ...
Researchers at Xidian University have developed GETI-WR, a graph neural network method that estimates worker reliability per task using bias ...
A new proof-of-concept study shows that pooling crowdsourced evaluation data from multiple nature-based initiatives can reveal which programmes genuinely increase ...
Researchers have built a blockchain-and-AI-agent system for crowdsourced pharmaceutical delivery that cut simulated route time by 25 percent while keeping ...
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© 2025 Scienmag - Science Magazine