Yixin Ye

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I’m a third year undergraduate student from Shanghai Jiao Tong University, advised by Prof.Pengfei Liu at GAlR Lab. Previously, I was an undergraduate researcher advised by Prof.Dequan Wang.

My research interests mainly lie in natural language processing, complex reasoning, and fundamental research of LLMs. I am now focusing on enhancing LLMs’ reasoning capabilities through innovative approaches.

I have experience in developing and training large language models, with a focus on pretraining and fine-tuning techniques. My background also includes work on multimodal learning systems and addressing alignment challenges in multimodal AI architectures.

news

Feb 13, 2025 We are honored to have been invited to present a talk about LIMO at Synced (机器之心).
Feb 10, 2025 We released a real-time benchmark for math reasoning models on AIME 2025!

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 🏃‍♀️.