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Gang Wu

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#artificial intelligence Preprint Sep 2026

PTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices

PTC-Decoder (Plan-Tool Constrained Decoder), a training-free, plug-and-play decoder framework that combines a Plan-to-Act paradigm and a deterministic finite automaton that imposes token-level hard constraints on tool names while preserving freedom over parameter generation, thereby retaining SLM reasoning capability,...

Ming-Hui Yu, Ke Mu, Gang Wu · 0 citations
#artificial intelligence Preprint Sep 2026

FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model

While test-time scaling enhances Large Language Model (LLM) agents in long-horizon software engineering (SWE), sparse binary rewards (Pass/Fail) create a severe credit assignment crisis and waste failed exploratory trajectories. Current trajectory optimization and scaling methods are costly and structurally limited, re...

Jing-Xuan Xu, Gang Wu, Ya-Nan Wu et al. · 0 citations

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