Jul 2026
Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning
A Kalman-Guided Prompt Selection method (KGPS), which reformulates prompt selection as a dynamic state estimation problem rather than static difficulty prediction, and consistently improves both final accuracy and rollout efficiency over strong baselines, establishing state-of-the-art performance among online prompt se...
Hao-Dong Zhu, Yang-Yang Ren, Yanjing Li et al.
· arXiv.org · 2 citations
· ⚡2