Search papers, labs, and topics across Lattice.
3
0
7
9
A single recurrent Transformer block can match the accuracy of deep vision encoders with 70% fewer parameters by dynamically programming FFN experts via a continuous depth coordinate.
Latent reasoning models can achieve 97% of explicit CoT accuracy at 25% of the latency by shaping a continuous latent space with flow matching and self-verification.
UltraViT achieves a groundbreaking 1.7x speed increase for on-device vision-language model encoding without sacrificing performance.
