Search papers, labs, and topics across Lattice.
3
0
5
5
Retrieval reasoning that learns from failures can dramatically boost the accuracy of multimodal retrieval systems.
Pretraining action modules with motion priors can drastically enhance VLA model performance, achieving faster convergence and better success rates in complex robot manipulation tasks.
Forget generic retrieval signals – UniDoc-RL uses reinforcement learning to teach LVLMs how to actively perceive and reason about visual information, yielding a 17.7% performance boost.
