Publications

For the full publication list, please refer to the Google Scholarprofile.

Journal Articles

2026

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone

ECCV, 2026. Best Paper Finalist, CVPR Scalable Robot Learning Workshop

Paper Project Code

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Yinpei Dai, Hongze Fu, Jayjun Lee, Yuejiang Liu, Haoran Zhang, Jianing Yang, Chelsea Finn, Nima Fazeli, Joyce Chai

International Conference on Machine Learning (ICML), 2026. Oral (0.7%)

Paper Project Code

Learning Long-Context Diffusion Policies via Past-Token Prediction

Marcel Torne, Andy Tang, Yuejiang Liu, Chelsea Finn

Conference on Robot Learning (CoRL), 2025. Best Paper, RSS Robot Representation Workshop

Paper Project Code

Demo-SCORE: Curating Demonstrations using Online Experience

Annie Chen, Alec Lessing, Yuejiang Liu, Chelsea Finn

Robotics: Science and Systems (RSS), 2025

Paper Project Code

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling

Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn

International Conference on Learning Representations (ICLR), 2025

Paper Project Code

2025

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone

ECCV, 2026. Best Paper Finalist, CVPR Scalable Robot Learning Workshop

Paper Project Code

2024

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone

ECCV, 2026. Best Paper Finalist, CVPR Scalable Robot Learning Workshop

Paper Project Code

Conference Paper

2026

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