CondenseVLA: Learnable History Condensation for Efficient Multi-Frame VLA
cs.CV, cs.RO
Submitted: 2026-10-19
Updated: 2026-10-19
Comments: Accepted at NeurIPS 2026. 39 pages, including supplementary material and the NeurIPS paper checklist. Project page: https://github.com/FeiyangHong/CondenseVLA
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models