Author

Shu-Jin Zhong

3 papers indexed here

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Review Open access Aug 2026

Artificial intelligence learning environments and educational psychology (2016–2025): a systematic bibliometric synthesis and review

The rapid integration of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) into educational environments has fundamentally transformed instructional design building upon earlier AI research in educational psychology. However, there is growing concern that computational innovation is outstrippi...

Shu-Jin Zhong, J. Simons · Frontiers in Psychology · 0 citations

#artificial intelligence Preprint Sep 2026

T2SPO: Trajectory-to-Step Policy Optimization for Agentic Reinforcement Learning

Reinforcement learning enables large language model (LLM) agents to learn multi-step behaviors through interaction with their environments. However, rewards in many interactive tasks reflect only the final outcome, providing limited guidance on which intermediate decisions advance the task. Successful training trajecto...

Bo-Wen Zhang, Jun-Wei He, Mao-Qi Liu et al. · 0 citations

Jul 2026

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization

Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit criteria. Yet in GRPO-style pipelines, these structured judgments are reduced to a scalar response-level reward and converted into a response-level advantage, which is broadcast uniformly to all generated t...

Bo-wen Zhang, Junwei He, Wen Wang et al. · arXiv.org · 0 citations