Preprint
Aug 2026
Hi-TTRL: Regulating Consensus with Hints for Test-Time Reinforcement Learning
Experiments on multiple datasets and backbones show that Hi-TTRL consistently improves over standard TTRL, with ablations and consensus-steering analyses validating the effectiveness of adaptive hint-guided consensus regulation.
Kunbin Xu, Xingzuo Li, Xue-Feng Bai et al.
· 1 citation