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Ruizhong Qiu

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#artificial intelligence Review Jan 2026

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

This survey synthesizes agentic reasoning methods into a unified roadmap bridging thought and action, and outlines open challenges and future directions, including personalization, long-horizon interaction, world modeling, scalable multi-agent training, and governance for real-world deployment.

Tian-Xin Wei, Ting-Wei Li, Zhining Liu et al. · 39 citations · ⚡6
Book Open access Aug 2026

Graph Diffusion History Reconstruction via Feasibility-Aware Markov Chain Monte Carlo Estimation

Diffusion dynamics on graphs arise across many fields including information spreading and rumor cascades in online platforms, propagation of cascading outages in power and transportation infrastructures, diffusion of behaviors and product adoption in social networks, and transmission of shocks in financial and supply-c...

Yijing Zuo, Ruizhong Qiu, Ling-Jie Chen et al. · 1 citation · ⚡1
#artificial intelligence Preprint Aug 2026

From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model

This work proposes a principled VLM TTA method called \algname, and theoretically reveals that the InfoNCE loss can be neatly reformulated as a Wasserstein OT formulation, thereby unifying the objectives of the inference and adaptation of VLMs to achieve their mutual benefits.

Qi Yu, Zhichen Zeng, Katherine Tieu et al. · 0 citations

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