Search Results for author: Yuhe Liu

Found 3 papers, 1 papers with code

LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge

no code implementations18 Mar 2024 Yuhe Liu, Mengxue Kang, Zengchang Qin, Xiangxiang Chu

Experiments show that our model has achieved better logical performance, and the extracted logical knowledge can be effectively applied to other scenarios.

Common Sense Reasoning

OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models

1 code implementation11 Oct 2023 Yuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Minghua Ma, Dan Pei

Information Technology (IT) Operations (Ops), particularly Artificial Intelligence for IT Operations (AIOps), is the guarantee for maintaining the orderly and stable operation of existing information systems.

Hallucination In-Context Learning +2

Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings

no code implementations ICCV 2023 Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin

Following this observation, we propose ECENet, a new segmentation paradigm, in which class embeddings are obtained and enhanced explicitly during interacting with multi-stage image features.

Segmentation Semantic Segmentation

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