no code implementations • 11 Nov 2023 • Xiaoqian Li, Ercong Nie, Sheng Liang
The remarkable ability of Large Language Models (LLMs) to understand and follow instructions has sometimes been limited by their in-context learning (ICL) performance in low-resource languages.
no code implementations • 1 Nov 2023 • Xiaoqian Li, Ercong Nie, Sheng Liang
The promise of Large Language Models (LLMs) in Natural Language Processing has often been overshadowed by their limited performance in low-resource languages such as Bangla.
no code implementations • 29 Dec 2022 • Le Xia, Yao Sun, Dusit Niyato, Xiaoqian Li, Muhammad Ali Imran
Nevertheless, the unique demand for background knowledge matching makes it challenging to achieve efficient wireless resource management for multiple users in SemCom-enabled networks (SC-Nets).
no code implementations • 5 Nov 2022 • Zhanhe Li, Xiaoqian Li, Yingdong Wei, Chao Lu, Xuelian Bai
Then, the analytical mapping from load information to near-optimal solutions is obtained inspired by the mechanism of conventional OPF, and the quasi-OPF algorithm is designed based on the mapping.
no code implementations • 15 Feb 2022 • Le Xia, Yao Sun, Xiaoqian Li, Gang Feng, Muhammad Ali Imran
The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication system, i. e., intelligent semantic communication (ISC), where semantic contents, instead of traditional bit sequences, are coded by AI models for efficient communication.
no code implementations • 25 Nov 2020 • Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner.
no code implementations • 18 Nov 2019 • XiaoQian Li, Jie Liu, Shuwu Zhang, GuiXuan Zhang
At present, multi-oriented text detection methods based on deep neural network have achieved promising performances on various benchmarks.
no code implementations • 19 Dec 2018 • Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu
In this paper, we propose a novel learning-based Hierarchical Macro Strategy model for mastering MOBA games, a sub-genre of RTS games.