Yushan Pan — accepted AI-conference papers

2026

SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection

Ziqi Liu, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan, Zhijie Xu +1

AAAI 2026technical

Sarcasm detection is a crucial yet challenging Natural Language Processing task. Existing Large Language Model methods are often limited by single-perspective analysis, static reasoning pathways, and a susceptibility to hallucination when processing complex ironic rhetoric, which impacts their accur

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2024

Document Set Expansion with Positive-Unlabeled Learning Using Intractable Density Estimation

Haiyang Zhang, Qiuyi Chen, Yanjie Zou, Jia Wang, Yushan Pan, Mark Stevenson

COLING 2024main

The Document Set Expansion (DSE) task involves identifying relevant documents from large collections based on a limited set of example documents. Previous research has highlighted Positive and Unlabeled (PU) learning as a promising approach for this task. However, most PU methods rely on the unreali…

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