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Xin Huang

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#artificial intelligence Review Sep 2026

Right Answers, Costly Models: The Efficiency Gap in LLM-based Optimization Modeling

Optimization modeling formulates real-world decision problems as mathematical programs that solvers can use to find optimal decisions. Large language models (LLMs) can automate this process, but the resulting correct formulations can require substantial time and memory to construct and solve, limiting practical scalabi...

Zhong Li, Xin Huang, Jin-Hui Wan et al. · 0 citations
#artificial intelligence Review Aug 2026

What is Missing from AI Post-Training AI: An Empirical Analysis

Analyzing a large corpus of publicly released post-training trajectories, it is found that across different tasks, the agent's training strategy is locked in at the very beginning, and the entire remaining budget is spent on local adjustments within the selected strategy.

J. Lim, Xin Huang, Hao Peng et al. · 1 citation · ⚡1

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