Track the frontier, from condensed matter to cosmology.
Search papers, labs, and topics across Lattice.
3
0
5
7
Spatial intelligence tasks are solved 5.6x faster with zero accuracy loss by reframing them as classification problems, eliminating autoregressive decoding entirely.
A single MLLM can now perform temporal grounding and video QA with significant inference speedups by treating them as structured decision tasks.
Inverting the standard multimodal learning paradigm, Uni-ViGU shows a video generator can serve as the foundation for both video generation *and* understanding, achieving competitive performance on both.