Search papers, labs, and topics across Lattice.
Beijing Institute of Technology, Shenzhen MSU-BIT University
2
0
4
Self-evolving LLM agents can now break through their capability limits by learning from challenging examples without needing trajectory annotations.
Dynamically adjusting visual importance at test time can significantly enhance action prediction accuracy in VLA models.
