Jinghan Cao — accepted AI-conference papers

2025

Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications

Yiming Zeng, Wanhao Yu, Zexin Li, Tao Ren, Yu Ma, Jinghan Cao +2

EMNLP 2025

Large Language Models (LLMs) have significantly advanced natural language processing, demonstrating strong capabilities in tasks such as text generation, summarization, and reasoning. Recently, their potential for automating precise text editing tasks across specialized domains, such as programming

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2025

Engage for All: Making Ordinary Image Descriptions Appealing Again!

Yuyan Chen, Yifan Jiang, Li Zhou, Jinghan Cao, Yu Guan, Ming Yang +1

ICCV 2025poster

In recent years, multi-modal large language models (MLLMs) have been successfully adopted to generate humorous and engaging descriptions for internet memes. While, it is challenging for the same approaches to apply to ordinary images which lack of inherent funny or exaggerated contents. Thus, crafti…

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