no code implementations • 17 May 2024 • Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di wu, Xue Liu, Charlie Zhang, Xianbin Wang, Jiangchuan Liu
Then, we introduce LLM-enabled key techniques and telecom applications in terms of generation, classification, optimization, and prediction problems.
no code implementations • 7 Mar 2023 • Kaiyuan Hu, Yili Jin, Haowen Yang, Junhua Liu, Fangxin Wang
Recent years have witnessed a rapid development of immersive multimedia which bridges the gap between the real world and virtual space.
2 code implementations • SEMEVAL 2020 • Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a natural language statement that makes sense to humans from one that does not, and provide the reasons.