Yichun Liu — accepted AI-conference papers

2026

UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing

Lichen Ma, Xiaolong Fu, GaojingZhou, Zipeng Guo, Ting Zhu, Yichun Liu +3

AAAI 2026technical

With the rapid advancement of image generation, visual text editing using natural language instructions has received increasing attention. The main challenge of this task is to fully understand the instruction and reference image, and thus generate visual text that is style-consistent with the imag

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2023

Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules

Yichun Liu, Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng, Daoqi Chen, Yaxin Li

EMNLP 2023long main

Document-level Relation Extraction (DocRE) aims to extract relations among entity pairs in documents. Some works introduce logic constraints into DocRE, addressing the issues of opacity and weak logic in original DocRE models. However, they only focus on forward logic constraints and the rules mined…

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