Yixin Ye

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I’m a junior undergraduate student from Shanghai Jiao Tong UniversitySJTU Logo, advised by Prof.Pengfei Liu at GAIR Lab. Currently, I am a visiting research intern at Stanford UniversityStanford Emblem, working with Prof. Diyi Yang. Previously, I was an undergraduate researcher advised by Prof.Dequan Wang.

My research interests mainly lie in natural language processing, complex reasoning, and understanding LLMs. I have experience in pretraining and fine-tuning large language models. My background also includes work on multimodal systems.

Please feel free to contact me 👋

news

Jun 08, 2025 Awarded by Sensetime Scholarship. 30 undergraduate students nationwide.
Feb 13, 2025 Invited to present a talk about LIMO at Synced (机器之心).
Feb 10, 2025 A real-time benchmark has been released for math reasoning models on AIME 2025!
Sep 06, 2024 Awarded by Undergraduate Honors Scholarship. Top 1 undergraduate student(1/300+) among my school.

selected publications

  1. arxiv
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    LIMO: Less is More for Reasoning
    Yixin Ye*, Zhen Huang*, Yang Xiao, Ethan Chern, Shijie Xia, and Pengfei Liu
    2025
  2. arxiv
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    O1 Replication Journey: A Strategic Progress Report – Part 1
    Yiwei Qin*, Xuefeng Li*, Haoyang Zou*, Yixiu Liu*, Shijie Xia*, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, and Pengfei Liu
    2024
  3. ECCV
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    Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
    Jin Gao, Lei Gan*, Yuankai Li*Yixin Ye, and Dequan Wang
    In Computer Vision – ECCV 2024, 2025
  4. ECCV
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    Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
    Juntu Zhao, Junyu Deng*Yixin Ye*, Chongxuan Li, Zhijie Deng, and Dequan Wang
    In Computer Vision – ECCV 2024, 2025

misc

In my free time, I enjoy indie rock music 🎸, traditional strength training 🏋️ and amateur long-distance running 🏃‍♀️.