Showing 1–14 of 14 results
/ Date/ Name
Dec 23, 2025LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language ModelsJun 15, 2024Leveraging Locality to Boost Sample Efficiency in Robotic ManipulationJun 30, 2025Adapt Your Body: Mitigating Proprioception Shifts in Imitation LearningOct 8, 2023Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained ModelsJan 24, 2025SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient ManipulationFeb 16, 2025Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power SavingApr 10, 2025LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationSep 28, 2023Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep LearningMar 1, 2024EfficientZero V2: Mastering Discrete and Continuous Control with Limited DataOct 30, 2025Kimi Linear: An Expressive, Efficient Attention ArchitectureMay 17, 2025OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive ReasoningMar 9, 2022Benchmarking Graphormer on Large-Scale Molecular Modeling DatasetsFeb 28, 2022An Empirical Study of Graphormer on Large-Scale Molecular Modeling DatasetsOct 24, 2024Data Scaling Laws in Imitation Learning for Robotic Manipulation