Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach
GRAF is introduced, a greedy algorithmic framework that produces self-selection outcomes in polynomial time by ordering workers according to a score vector, with provable guarantees—zero worker regret and platform optimality—for special cases of SSTC, and LLMScore is proposed, an LLM-driven evolutionary framework that...
Thach Nguyen, Hau Chan, David C. Parkes et al.
· Proceedings of the 2026 ACM... · 0 citations