MERIT-Rank is proposed, a framework that models complementary reasoning trajectories to improve reranking robustness and develops Progressive Rank Policy Optimization (PRPO), a progressive training framework that stabilizes reasoning trajectories while continually improving ranking quality through staged optimization o...
Li-Jun Liu, Zheng-Zong Chen, Wen-Yan Li et al.· 0 citations
This work proposes MATCH, a closed-loop framework for model-aware tool learning with curriculum scheduling and hierarchically gated rewards, and shows consistent improvements across four backbones from two model families.
Shihao Liu, Hao Yin, Li-Jun Liu et al.· 0 citations
HypoSearch is proposed, which generates lightweight hypotheses as soft search hints, explores them through bounded independent branches, and compares branch-level evidence before commitment, and consistently outperforms single-trajectory search and standard parallel baselines.
Ruo-Chen Zhou, Zheng-Zong Chen, Luan Zhang et al.· 1 citation
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