Browsing: scholar

Authors: Matthias Klusch、Jörg Lässig、Daniel Müssig、Antonio Macaluso、Frank K. Wilhelm Paper: https://arxiv.org/abs/2408.10726 Introduction Quantum Artificial Intelligence (QAI) represents the convergence of quantum…

Authors: Jiyang Qiu、Xinbei Ma、Zhuosheng Zhang、Hai Zhao Paper: https://arxiv.org/abs/2408.10722 Introduction The rapid advancements in large language models (LLMs) have revolutionized the…

Authors: Imran Nasim、Joaõ Lucas de Sousa Almeida Paper: https://arxiv.org/abs/2408.10720 Introduction Scientific Machine Learning (SciML) has emerged as a transformative approach…

Authors: Padmanaba Srinivasan、William Knottenbelt Paper: https://arxiv.org/abs/2408.10713 Offline Model-Based Reinforcement Learning with Anti-Exploration: A Detailed Interpretive Blog Introduction Reinforcement Learning (RL)…

Authors: Pengkun Wei、Shuo Cheng、Dayou Li、Ran Song、Yipeng Zhang、Wei Zhang Paper: https://arxiv.org/abs/2408.10710 Introduction Background The automation of welding processes has become increasingly…

Authors: Yin Jun Phua、Katsumi Inoue Paper: https://arxiv.org/abs/2408.10709 Introduction Dynamic systems are ubiquitous in our world, and understanding them is crucial…

Authors: Lianghao Xia、Chao Huang Paper: https://arxiv.org/abs/2408.10700 Introduction The proliferation of relational data structured as graphs has highlighted the need for…

Authors: Hongbang Yuan、Zhuoran Jin、Pengfei Cao、Yubo Chen、Kang Liu、Jun Zhao Paper: https://arxiv.org/abs/2408.10682 Introduction Large Language Models (LLMs) have achieved significant success across…

Authors: Kenji Harada、Tsuyoshi Okubo、Naoki Kawashima Paper: https://arxiv.org/abs/2408.10669 Tensor Tree Learns Hidden Relational Structures in Data to Construct Generative Models Introduction…

Authors: Haoyu Wang、Bingzhe Wu、Yatao Bian、Yongzhe Chang、Xueqian Wang、Peilin Zhao Paper: https://arxiv.org/abs/2408.10668 Introduction The rapid advancement of Large Language Models (LLMs) such…