Author

Hongbo Wang

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#artificial intelligence May 2026

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models

BoostAPR is presented, a three-stage framework addressing challenges of supervised fine-tuning on execution-verified demonstrations with reasoning traces, training dual reward models from execution outcomes, and PPO optimization where the line-level model redistributes rewards to critical edit regions.

Yuan-Hao Li, Hong-Bo Wang, Xiaotang Shang et al. · arXiv.org · 3 citations · ⚡1

#artificial intelligence Dec 2025

SGM: Safety Glasses for Multimodal Large Language Models via Neuron-Level Detoxification

SGM is extensible, and its combined defenses, denoted as SGM*, integrate with existing detoxification methods for stronger safety performance, providing an interpretable, low-cost solution for toxicity-controlled multimodal generation.

Hongbo Wang, Maungmaung Aprilpyone, Isao Echizen · arXiv.org · 1 citation

#artificial intelligence Preprint Aug 2026

openJiuwen: Beyond Static Harnesses for Long-Horizon Coding Agents

OpenJiuwen provides a shared execution substrate and Rail-based capability composition across single agents, delegated sub-agents, and Swarm Flow, enabling developers to construct sophisticated agent harnesses under common execution semantics.

openJiuwen Team Tao Yu, Xin-Yu Zhang, Qian-Qian Chen et al. · 0 citations