Author

Tian-Hao Chen

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Preprint Oct 2026

Harnessing Language Models as Optimization Modeling Agents

Large language models (LLMs) can translate natural-language optimization problems into solver programs, but reliably producing correct formulations and implementations remains challenging. Existing approaches improve optimization modeling through agentic workflows or task-specific post-training. This raises a practical...

Yun-Xiang Luo, Xin Xu, Tian-Hao Chen et al. · 0 citations

#machine learning Preprint Oct 2026

AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning

This work introduces AlphaPilot, a reinforcement-learning framework that trains multi-turn tool-using LLM agents for adaptive alpha mining, and attains the highest mean total return, Sharpe, and RankIC among the evaluated methods on both universes.

Pei-Qi Jiang, Fan Zhang, Xin Xu et al. · 0 citations