2026 Preprint TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency Jack Lu, Yurong You, Boyi Li, Yulong Cao, Thomas Tian, Chaowei Xiao, Xiangyu Chen, Wenjie Luo, Boris Ivanovic, Marco Pavone*, and Yan Wang* Under review, 2026 PDF Website NeurIPS The Surprising Effectiveness of Deleting Weights in LLM Post-Training Jack Lu*, Zhenbang Yang*, Mike Lasby, Tejas Pote, Yani Ioannou, and Mengye Ren Conference on Neural Information Processing Systems (NeurIPS); also ICML Workshop on Foundations of Deep Generative Models, 2026 PDF Poster COLM HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning Donggyun Kim*, Jack Lu*, Chanwoo Kim, Mengye Ren, and Seunghoon Hong Conference on Language Modeling (COLM), 2026 PDF Poster Website ICLRW When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers Jack Lu*, Ryan Teehan*, Jinran Jin, and Mengye Ren ICLR 2026 Workshop on AI with Recursive Self-Improvement, 2026 PDF Code Data Poster Website ICML Context Tuning for In-Context Optimization Jack Lu, Ryan Teehan, Zhenbang Yang, and Mengye Ren International Conference on Machine Learning (ICML), 2026 PDF Code Poster Website NeurIPS Solaris: Building a Multiplayer Video World Model in Minecraft Georgy Savva*, Oscar Michel*, Daohan Lu*, Suppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar, Jack Lu, and Saining Xie Conference on Neural Information Processing Systems (NeurIPS), Spotlight, 2026 PDF Code Data Website ICLR SkillFactory: Self-Distillation For Learning Cognitive Behaviors Zayne Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, and Greg Durrett International Conference on Learning Representations (ICLR), 2026 PDF Code Data 2024 ECCV ProCreate, Don’t Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu, Ryan Teehan, and Mengye Ren European Conference on Computer Vision (ECCV), 2024 PDF Video Code Data Poster Website ICRA SceneControl: Diffusion for Controllable Traffic Scene Generation Jack Lu*, Kelvin Wong*, Chris Zhang, Simon Suo, and Raquel Urtasun IEEE International Conference on Robotics and Automation (ICRA), 2024 PDF Video Website 2021 Frontiers Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, and Michael Lynch Frontiers in Artificial Intelligence, 2021 PDF Code Website
