1 code implementation • 18 Mar 2024 • Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng
To meet the requirements of real-world applications, it is essential to control generations of large language models (LLMs).
no code implementations • 4 Jan 2024 • Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen
Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching the time scope.
1 code implementation • 26 Dec 2023 • Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
Recently, prompt-tuning with pre-trained language models (PLMs) has demonstrated the significantly enhancing ability of relation extraction (RE) tasks.
no code implementations • 26 Dec 2023 • Yuhang Liu, Daowan Peng, Wei Wei, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen
Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.
1 code implementation • 22 Oct 2023 • Zhenyi Lu, Wei Wei, Xiaoye Qu, Xianling Mao, Dangyang Chen, Jixiong Chen
Subsequently, we employ a conditional variational auto-encoder to align with the dense personalized responses within a latent joint attribute space.
1 code implementation • 26 Jul 2023 • Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu
Specifically, MHCPL timely chooses useful social information according to the interactive history and builds a dynamic hypergraph with three types of multiplex relations from different views.
1 code implementation • 20 Jul 2023 • Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen
TREA constructs a multi-hierarchical scalable tree as the reasoning structure to clarify the causal relationships between mentioned entities, and fully utilizes historical conversations to generate more reasonable and suitable responses for recommended results.
no code implementations • 17 May 2023 • Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen
Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain.
1 code implementation • 28 Nov 2022 • Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen
Hence, we propose a novel approach, Span TAgging and Greedy infErence (STAGE), to extract sentiment triplets in span-level, where each span may consist of multiple words and play different roles simultaneously.
no code implementations • 17 Oct 2022 • Ruihan Zhang, Wei Wei, Xian-Ling Mao, Rui Fang, Dangyang Chen
Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations.
no code implementations • 27 Aug 2022 • Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen
Different from the previous contrastive learning-based methods for SR, MCLSR learns the representations of users and items through a cross-view contrastive learning paradigm from four specific views at two different levels (i. e., interest- and feature-level).
1 code implementation • 23 Aug 2022 • Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen
Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions.
1 code implementation • 22 Aug 2022 • Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen
Specifically, we first construct local and non-local graphs for user/item in KG, exploring more KG facts for KGR.