1 code implementation • Findings (NAACL) 2022 • Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Xin Zhao
Commonsense reasoning in natural language is a desired ability of artificial intelligent systems.
no code implementations • 17 Feb 2024 • Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang song, Chen Zhu, HengShu Zhu, Ji-Rong Wen
To guarantee the effectiveness, we leverage program language to formulate the multi-hop reasoning process over the KG, and synthesize a code-based instruction dataset to fine-tune the base LLM.
no code implementations • 30 Dec 2023 • Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
To better perform reasoning on KG, recent work typically adopts a pre-trained language model~(PLM) to model the question, and a graph neural network~(GNN) based module to perform multi-hop reasoning on the KG.
1 code implementation • 16 May 2023 • Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen
Specially, we propose an \emph{invoking-linearization-generation} procedure to support LLMs in reasoning on the structured data with the help of the external interfaces.
5 code implementations • 31 Mar 2023 • Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, YiFan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen
To discriminate the difference in parameter scale, the research community has coined the term large language models (LLM) for the PLMs of significant size.
1 code implementation • 2 Dec 2022 • Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Multi-hop Question Answering over Knowledge Graph~(KGQA) aims to find the answer entities that are multiple hops away from the topic entities mentioned in a natural language question on a large-scale Knowledge Graph (KG).
1 code implementation • 4 May 2022 • Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
Commonsense reasoning in natural language is a desired ability of artificial intelligent systems.
1 code implementation • 15 Aug 2021 • Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB).
no code implementations • 25 May 2021 • Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA.
1 code implementation • ACL 2021 • Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework.