Search papers, labs, and topics across Lattice.
Fudan University
3
0
6
Transforming autoregressive VLA models into diffusion frameworks yields a 2.8x decoding speedup while preserving performance parity, revolutionizing efficiency in autonomous driving.
Unifying the agent and speculator within a single model boosts next tool-call prediction accuracy by over 17% without sacrificing task performance.
Treating tactile signals as active cues rather than passive inputs leads to a dramatic boost in manipulation success rates and accuracy in contact-rich tasks.
