Yuyao Ge 葛钰峣

Ph.D Student

Institute of Computing Technology(ICT)

Chinese Academy of Sciences(CAS)

About

Hi👋, welcome to visit my website! I am a Ph.D student at Institute of Computing Technology(ICT), Chinese Academy of Sciences(CAS), advised by Prof. Shenghua Liu and Yiwei Wang . I work on Large Language Model (LLMs) Reasoning 🤖, especially in Vision-Language Models (VLM) Reasoning and Solve complex logic problems with LLMs.

I completed research internships at Tsinghua University, focusing on large language model post-training, and at Microsoft Software Technology Center Asia (STCA), working on feature engineering and language model training.

Beyond my core research, I explore Web3+AI and Ethereum 🔗 (work with PharosInsight).

I am a member of sigmir and welcome research collaborations 🤝！

News

🎉 [2025.09] One paper has been accepted by EMNLP 2025 Main.
🎉 [2025.05] One paper has been accepted by ACL 2025 Main.

Interests

Large Language Model Reasoning
Vision-Language Model Reasoning
Solve Logic Problems with LLMs

Education

Ph.D Candidate, 2024-202X

Institute of Computing Technology
B.S. in Computer Science, 2020-2024

North China University of Technology

Highlight Publications

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Yuyao Ge 葛钰峣, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Xuanshan Zhou, Jiayu Yao, Jiafeng Guo, Xueqi Cheng (2025). Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning. arXiv.

PDF Cite DOI arXiv

Yuyao Ge 葛钰峣, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng (2025). Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?. Association for Computational Linguistics (ACL) Main, 2025 (CCF-A).

PDF Cite Code Slides Video DOI Paper Website Poster

Lingrui Mei, Jiayu Yao, Yuyao Ge 葛钰峣, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu (2025). A Survey of Context Engineering for Large Language Models. arXiv.

PDF Cite Code DOI arXiV Hugging Face

Yuyao Ge 葛钰峣, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng (2025). Innate Reasoning is Not Enough : In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. arXiv.

PDF Cite arXiv

Yuyao Ge 葛钰峣, Zhongguo Yang, Lizhe Chen, Yiming Wang, Chengyang Li (2023). Attack based on data : A novel perspective to attack sensitive points directly. Cybersecurity (CCF-C).

PDF Cite Dataset DOI

Other Publications

Yujia Zheng, Tianhao Li, Haotian Huang, Tianyu Zeng, Jingyu Lu, Chuangxin Chu, Yuekai Huang, Ziyou Jiang, Qian Xiong, Yuyao Ge 葛钰峣, Mingyang Li (2025). Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models. arXiv.

PDF Cite DOI arXiv

Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge 葛钰峣, Zhecheng Li, Xueqi Cheng (2025). Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) Oral, 2025 (CCF-B).

PDF Cite DOI arXiv

Lizhe Chen, Binjia Zhou, Yuyao Ge 葛钰峣, Jiayi Chen, Shiguang Ni (2025). PIS:Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression. arXiv.

PDF Cite DOI arXiv

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