no code implementations • 11 Mar 2024 • Liangliang Chen, Yutian Lei, Shiyu Jin, Ying Zhang, Liangjun Zhang
In this paper, we propose RLingua, a framework that can leverage the internal knowledge of large language models (LLMs) to reduce the sample complexity of RL in robotic manipulations.
no code implementations • 16 Oct 2023 • Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen
Nevertheless, the existing approaches just extract each interest independently for the corresponding sub-sequence while ignoring the global correlation of the entire interaction sequence, which may fail to capture the user's inherent preference for the potential interests generalization and unavoidably make the recommended items homogeneous with the historical behaviors.
1 code implementation • Findings (NAACL) 2022 • Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth.
no code implementations • EMNLP 2021 • Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumors are rampant in the era of social media.