249 citations · 263 across the 17 of their papers we have counts for
3 papers · 1 filter
How Can Quantum Deep Learning Improve Large Language Models?
Emily Jimin Roh, Hyojun Ahn, Samuel Yen-Chi Chen +2
The rapid progress of large language models (LLMs) has transformed natural language processing, yet the challenge of efficient adaptation remains unresolved. Full fine-tuning achie…
Quantum Circuit Structure Optimization for Quantum Reinforcement Learning
Seok Bin Son, Joongheon Kim
Reinforcement learning (RL) enables agents to learn optimal policies through environmental interaction. However, RL suffers from reduced learning efficiency due to the curse of dim…
Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control
Hyojun Ahn, Seungcheol Oh, Gyu Seon Kim +3
This paper proposes SafeGPT, a two-tiered framework that integrates generative pretrained transformers (GPTs) with reinforcement learning (RL) for efficient and reliable unmanned a…