Zhongyuan Hu — accepted AI-conference papers

2025

AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward

Haonan Han, Xiangzuo Wu, Huan Liao, Zunnan Xu, Zhongyuan Hu, Ronghui Li +2

CVPR 2025poster

Recently, text-to-motion models open new possibilities for creating realistic human motion with greater efficiency and flexibility. However, aligning motion generation with event-level textual descriptions presents unique challenges due to the complex, nuanced relationship between textual prompts an…

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2025

Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data

Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang

AAAI 2025technical

In recent years, the rapid development of Large Language Models has highlighted the urgent need for large-scale, high-quality, and diverse data. We have launched an LLM data co-creation platform aimed at bringing together a wide range of participants to contribute data. Within six months, the platfo…

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