Author

Rui-Zhe Zhang

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#artificial intelligence Jun 2026

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research

ScaffoldAgent is proposed, a utility-guided dynamic outline optimization framework for OEDR that models outline evolution as a structured decision process with three operations: Expansion, Contraction, and Revision, enabling controlled updates to the report scaffold.

Zhibang Yang, Xinke Jiang, Yuzhen Xiao et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Aug 2026

AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing

This work proposes AgenticRag-R1, a RL framework that deeply integrates reasoning, retrieval, and memory via a memory stack and fine-grained action space, supported by hierarchical action-aware rewards and an information-aware trajectory rejection strategy to enable effective long-horizon learning.

Xin-Ke Jiang, Yue Fang, Zhi-Bang Yang et al. · 2 citations

#artificial intelligence Mar 2026

InfoMamba: An Attention-Free Hybrid Mamba-Transformer Model

A consistency boundary analysis is presented that characterizes when diagonal short-memory SSMs can approximate causal attention and identifies structural gaps that remain and proposes InfoMamba, an attention-free hybrid architecture that consistently outperforms strong Transformer and SSM baselines.

Youjin Wang, Jiaqi Zhao, Rong Fu et al. · arXiv.org · 0 citations