BRACE is proposed, which encodes the ORC as four differentiable stages (Topic ->Indicator ->Severity ->Type) with intermediate supervision, serving as a structured regularizer blended with direct heads, and supported by prototype-based feature augmentation and feature path disentanglement.
Haojie Yu, Ziyou Jiang, Junjie Wang et al.· 0 citations
Experiments on WebShop and ALFWorld with different backbones show that TRIAL outperforms GRPO across all eight combinations of backbone, environment, and evaluation metric, while achieving the best or tied-best performance among six methods on six of them.
Hao-Yu Zheng, Yun Zhu, Qing Wang et al.· 1 citation
Results show that self-contamination is a trainable component of the LiC gap, and propose MAIGO, an on-policy self-distillation method that reduces this contamination using history-cleaned references from the model's own policy.