This work proposes MemLoc, a unified Retrieve-Localize-Generate framework for long-term conversational memory QA, and introduces a reasoning-based evidence locator trained with Self-reflective Hint Policy Optimization, which performs progressive refinement by extracting query-relevant fragments within memory units to s...
Yi-Fan Wang, Xin-Kui Lin, Yong-Xiu Xu et al.· 0 citations
GSAR (Goal-State-Anchor Reward), a RL reward framework that supports scalable task generation and delivers reliable reward signals for stable and efficient policy optimization, is introduced.
Long Zhang, Yuhan Chen, Chaoran Zhang et al.· 0 citations
See, a two-stage data synthesis framework consisting of an efficient exploration stage that builds an explicit UI transition graph over screens and elements, and a graph-based synthesis stage that composes diverse multi-step trajectories via planning and controlled sampling, yields reproducible and explainable data gen...
Zhuohang Fan, Beichen Zhang, Yuanfa Li et al.· 0 citations
G-ReAct is a reasoning framework for deep search that organizes reasoning as state evolution over a fixed-topology query graph, transforming exploratory search driven by textual history into graph-guided reasoning under explicit constraints.
Shaoxiong Yang, Mengyuan Zhang, Shao-Jun Lin et al.· 0 citations
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