Search papers, labs, and topics across Lattice.
KAUST
2
0
4
0
Fast-weight updates in LongVU-TTT enable MLLMs to retain crucial visual context, significantly boosting performance in long video understanding tasks.
Optimizing for runtime in multimodal training can be energy-inefficient, as data movement and overlap on Grace Hopper chips dominate energy consumption, not raw compute.
