Track the frontier, from condensed matter to cosmology.
Search papers, labs, and topics across Lattice.
3
0
6
18
Training GUI agents in mocked environments yields substantial real-world performance gains, bridging the gap between simulation and physical device interaction.
Looped Transformers can achieve tens of thousands of effective reasoning steps without performance collapse by learning to selectively retain and decay intermediate states.
Looped MoE models can scale to over 10 iterations, achieving substantial performance gains by stabilizing recurrence and diversifying expert selection.