Author

Runnan Li

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#artificial intelligence Book Open access Jun 2026

Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning

Lookahead-R is proposed, a planning-based framework that reformulates tool retrieval as a resource-constrained sequential decision-making problem that introduces a lightweight execution-aware surrogate world model that jointly predicts tool execution success, latency cost, and semantic utility—without invoking real API...

Zong-Ze Wu, Ya-Ni Guo, Run-Nan Li · International Conference on... · 1 citation

Review Open access Aug 2026

Generative AI-Assisted Visualization Prototyping for Cultural Heritage: A Computational Framework from 2D Planes to 3D Immersive Scenes

A human-in-the-loop GenAI-assisted framework for producing immersive 3D visualization prototypes rather than historically verified reconstructions is proposed, which integrates multi-view image generation, knowledge-informed review, single-image-to-3D generation, topology inspection, and perceptual calibration.

Jian-Quan Liu, Run-Nan Li, Haiying Zhao · Buildings · 0 citations