| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1120 | 2024 |
| Real-time user-guided image colorization with learned deep priors R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros arXiv preprint arXiv:1705.02999, 2017 | 825 | 2017 |
| Automatic Goal Generation for Reinforcement Learning Agents C Florensa, D Held, X Geng, P Abbeel International Conference on Machine Learning, 1514-1523, 2018 | 593* | 2018 |
| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 463* | 2024 |
| Koala: A dialogue model for academic research X Geng, A Gudibande, H Liu, E Wallace, P Abbeel, S Levine, D Song Blog post, April 1 (6), 2023 | 226 | 2023 |
| The false promise of imitating proprietary llms A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ... arXiv preprint arXiv:2305.15717, 2023 | 168 | 2023 |
| OpenLLaMA: An open reproduction of llama X Geng, H Liu https://github.com/openlm-research/open_llama, 2023 | 162 | 2023 |
| Sequential modeling enables scalable learning for large vision models Y Bai, X Geng, K Mangalam, A Bar, AL Yuille, T Darrell, J Malik, AA Efros Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 155 | 2024 |
| Deep reinforcement learning for tensegrity robot locomotion M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ... 2017 IEEE international conference on robotics and automation (ICRA), 634-641, 2017 | 131 | 2017 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurmans, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 109 | 2022 |
| Rewriting history with inverse rl: Hindsight inference for policy improvement B Eysenbach, X Geng, S Levine, RR Salakhutdinov Advances in neural information processing systems 33, 14783-14795, 2020 | 109 | 2020 |
| Conservative objective models for effective offline model-based optimization B Trabucco, A Kumar, X Geng, S Levine International Conference on Machine Learning, 10358-10368, 2021 | 102 | 2021 |
| Design-bench: Benchmarks for data-driven offline model-based optimization B Trabucco, X Geng, A Kumar, S Levine International Conference on Machine Learning, 21658-21676, 2022 | 100 | 2022 |
| Dynamical distance learning for semi-supervised and unsupervised skill discovery K Hartikainen, X Geng, T Haarnoja, S Levine arXiv preprint arXiv:1907.08225, 2019 | 98 | 2019 |
| Offline q-learning on diverse multi-task data both scales and generalizes A Kumar, R Agarwal, X Geng, G Tucker, S Levine arXiv preprint arXiv:2211.15144, 2022 | 52 | 2022 |
| Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling R Mendonca, X Geng, C Finn, S Levine arXiv preprint arXiv:2006.07178, 2020 | 49 | 2020 |
| Multistage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine IEEE Transactions on Robotics 40, 1476-1491, 2024 | 37 | 2024 |
| Rl on incorrect synthetic data scales the efficiency of llm math reasoning by eight-fold A Setlur, S Garg, X Geng, N Garg, V Smith, A Kumar Advances in Neural Information Processing Systems 37, 43000-43031, 2025 | 29 | 2025 |
| Rewarding progress: Scaling automated process verifiers for llm reasoning A Setlur, C Nagpal, A Fisch, X Geng, J Eisenstein, R Agarwal, A Agarwal, ... arXiv preprint arXiv:2410.08146, 2024 | 26 | 2024 |
| Action-quantized offline reinforcement learning for robotic skill learning J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine Conference on Robot Learning, 1348-1361, 2023 | 20 | 2023 |