Zhijie Jiang — accepted AI-conference papers

2025

Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models

Mingxuan Xia, Zhijie Jiang, Haobo Wang, Junbo Zhao, Tianlei Hu, Gang Chen

EMNLP 2025

Hierarchical text classification aims to classify documents into multiple labels within a hierarchical taxonomy, making it an essential yet challenging task in natural language processing. Recently, using Large Language Models (LLM) to tackle hierarchical text classification in a zero-shot manner ha

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2024

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation

Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen +1

CVPR 2024poster

Positive-Unlabeled (PU) learning aims to train a binary classifier using minimal positive data supplemented by a substantially larger pool of unlabeled data in the specific absence of explicitly annotated negatives. Despite its straightforward nature as a binary classification task the currently bes…

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