Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing

ArXi:2605.24052v1 Announce Type: cross To better serve users' demands in mobile applications (e.g., navigation), mobile crowdsourcing platforms can iteratively align large language model (LLM)-generated content (e.g., AI-generated traffic condition predictions) with human feedback collected from crowdsourcing workers (e.g., mobile users). However, workers may strategically misreport their online preference feedback to maximize their influence or payment.