Search Results for author: Guoxiu He

Found 10 papers, 7 papers with code

Text Clustering as Classification with LLMs

no code implementations30 Sep 2024 Chen Huang, Guoxiu He

Second, after integrating similar labels generated by the LLM, we prompt the LLM to assign the most appropriate label to each sample in the dataset.

Classification Clustering +2

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias

1 code implementation30 Aug 2024 Lulu Dong, Guoxiu He, Aixin Sun

Our analysis, based on a causal graph modeling short-video recommendation, suggests that the release interval serves as a confounder, establishing a backdoor path between users and videos.

Blocking Recommendation Systems

Recurrent Alignment with Hard Attention for Hierarchical Text Rating

1 code implementation14 Feb 2024 Chenxi Lin, Jiayu Ren, Guoxiu He, Zhuoren Jiang, Haiyan Yu, Xiaomin Zhu

To this end, we propose a novel framework for hierarchical text rating utilizing LLMs, which incorporates Recurrent Alignment with Hard Attention (RAHA).

Hard Attention

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement

1 code implementation15 Nov 2023 Zhikai Xue, Guoxiu He, Zhuoren Jiang, Sichen Gu, Yangyang Kang, Star Zhao, Wei Lu

In contrast, we propose distinguishing effects derived from various factors and predicting citation increments as estimated potential impacts within the dynamic context.

Disentanglement Graph Neural Network

H2CGL: Modeling Dynamics of Citation Network for Impact Prediction

1 code implementation16 Apr 2023 Guoxiu He, Zhikai Xue, Zhuoren Jiang, Yangyang Kang, Star Zhao, Wei Lu

Then, a novel graph neural network, Hierarchical and Heterogeneous Contrastive Graph Learning Model (H2CGL), is proposed to incorporate heterogeneity and dynamics of the citation network.

Contrastive Learning Graph Learning +1

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

1 code implementation EMNLP 2021 Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu

Chatbot is increasingly thriving in different domains, however, because of unexpected discourse complexity and training data sparseness, its potential distrust hatches vital apprehension.

Chatbot Multi-Task Learning

Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model

no code implementations3 Jan 2020 Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, Wei Lu

The nonliteral interpretation of a text is hard to be understood by machine models due to its high context-sensitivity and heavy usage of figurative language.

Reading Comprehension Sentence

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