Author

Shu-Min Wang

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#natural language process... Preprint Sep 2026

$\Phi$-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?

This work presents $\Phi$-Bench, a benchmark for systematically evaluating LLMs on engineering the LLM infrastructure stack and spans tasks of varying complexity, ranging from localized kernel-level function completion to long-horizon implementation and end-to-end system optimization.

Lei-Lei Ding, Shu-Min Wang, Yu-Ting Huang et al. · 1 citation

Preprint Aug 2026

ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes

This work introduces ThinkAfford, which decouples high-recall affordance proposal generation from instruction-grounded reasoning and outperforming comparable 3D open-vocabulary and vision-language-model-based 2D-to-3D baselines.

Xinrui Lin, Sha Zhang, Shu-Min Wang et al. · 0 citations