publications

My papers in reverse chronological order.

2026

  1. ICML
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    The Surprising Effectiveness of Deleting Weights in LLM Reasoning and Adaptation
    ICML Workshop on Foundations of Deep Generative Models , 2026
  2. ICML
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    Context Tuning for In-Context Optimization
    Jack LuRyan TeehanZhenbang Yang, and Mengye Ren
    International Conference on Machine Learning (ICML) , 2026

2025

  1. ICLR
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    When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers
    Jack Lu*Ryan Teehan*Jinran Jin, and Mengye Ren
    ICLR Workshop on AI with Recursive Self-Improvement , 2025
  2. ICLR
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    SkillFactory: Self-Distillation For Learning Cognitive Behaviors
    Conference on Learning Representations (ICLR) , 2025
  3. ArXiv
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    Solaris: Building a Multiplayer Video World Model in Minecraft
    Georgy SavvaOscar MichelDaohan LuSuppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar , Jack Lu, and Saining Xie
    2025

2024

  1. ECCV
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    ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation
    Jack LuRyan Teehan, and Mengye Ren
    European Conference on Computer Vision (ECCV) , 2024
  2. ICRA
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    SceneControl: Diffusion for Controllable Traffic Scene Generation
    IEEE International Conference on Robotics and Automation (ICRA) , 2024

2021

  1. Frontiers
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    Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
    Frontiers in Artificial Intelligence , 2021