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Yue Fang

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#artificial intelligence Preprint Sep 2026

The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis

The proposed MIMIC framework fundamentally transforms algorithms into verifiable reasoning trajectories through narrative fusion, code-guided test synthesis, and dynamic code instrumentation, demonstrating that the procedural rigor of executable code can effectively unlock and enhance the generalized reasoning capabili...

Jin-Yang Zhang, Wei-Bin Liao, Ke-Qin Bao et al. · 0 citations

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. · 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
Jul 2026

ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side Memory

This work introduces ToolAtlas, a graph-based framework that builds a persistent provider-side tool memory of tool capabilities, failure boundaries, and cross-tool compositions through execution-verified probing and establishes provider-side tool memory as an effective and reusable paradigm for tool servers.

Yue Fang, Zhibang Yang, Fangkai Yang et al. · 0 citations

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