Search Results for author: Yibin Liu

Found 5 papers, 2 papers with code

Fine-grained Entity Typing without Knowledge Base

1 code implementation EMNLP 2021 Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, Shuming Shi

Existing work on Fine-grained Entity Typing (FET) typically trains automatic models on the datasets obtained by using Knowledge Bases (KB) as distant supervision.

Entity Typing named-entity-recognition +2

ActiveRAG: Revealing the Treasures of Knowledge via Active Learning

1 code implementation21 Feb 2024 Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu

Retrieval Augmented Generation (RAG) has introduced a new paradigm for Large Language Models (LLMs), aiding in the resolution of knowledge-intensive tasks.

Active Learning Position +2

Improved Multi-step FCS-MPCC with Disturbance Compensation for PMSM Drives -- Methods and Experimental Validation

no code implementations15 May 2022 Hai Yang, Yibin Liu, Junxiao Wang, Jun Yang

In this paper, an improved multi-step finite control set model predictive current control (FCS-MPCC) strategy with speed loop disturbance compensation is proposed for permanent magnet synchronous machine (PMSM) drives system.

Connecting Software Metrics across Versions to Predict Defects

no code implementations28 Dec 2017 Yibin Liu, Yanhui Li, Jianbo Guo, Yuming Zhou, Baowen Xu

Accurate software defect prediction could help software practitioners allocate test resources to defect-prone modules effectively and efficiently.

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