Search papers, labs, and topics across Lattice.
4
0
6
Visual under-conditioning in LMMs can be overcome by directly regularizing visual attention, leading to remarkable improvements in multimodal understanding tasks.
Unsupervised training can elevate multimodal models, achieving a 3.5% boost in understanding metrics and a notable increase in image generation fidelity without human intervention.
Agentic AI struggles with Earth Observation because reprojection, resampling, and other geospatial operations silently corrupt data, demanding a new agent design paradigm.
Open-ended reinforcement learning with LLM-based rewards unlocks surprisingly strong performance in medical reasoning for multimodal models, even with limited training data.
