The paper presents a new approach to crowdsourcing, leveraging self-supervised learning and a novel aggregation scheme. Instead of averaging estimates from crowdworkers, it adapts weights based on their previous estimates….
Continue readingThis academic article by Jiyi Li explores whether Large Language Models (LLMs) can outperform crowdsourcing on the data annotation task. The author investigates existing crowdsourcing datasets that can be used…
Continue readingThis study introduces a framework for controlling large-scale mixed traffic using a privacy-protecting crowdsensing method, a graph propagation-based traffic forecasting method, and a privacy-preserving route selection mechanism. The framework was…
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