most citedQUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL

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QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL

Cong Yu, Valter Uotila, Shilong Deng +5

Designing and optimizing task-specific quantum circuits are crucial to leverage the advantage of quantum computing. Recent large language model (LLM)-based quantum circuit generati…

cs.AI2025

From Natural Language to Extensive-Form Game Representations

Shilong Deng, Yongzhao Wang, Rahul Savani

We introduce a framework for translating game descriptions in natural language into extensive-form representations in game theory, leveraging Large Language Models (LLMs) and in-co…