Search papers, labs, and topics across Lattice.
6
128
10
6
Intern-S2-Preview-397B not only excels in multimodal scientific reasoning but also enhances biological instruction performance without altering its foundational architecture.
LLMs may excel at answering legal questions, but they falter when it comes to accurately citing laws across jurisdictions, revealing a major flaw in their legal reasoning abilities.
Atomic visual perception in MLLMs is largely unsolved, with no model surpassing 60% accuracy on a new benchmark designed to isolate perceptual capabilities.
Kimi K3's innovative architecture achieves a 2.5x scaling efficiency improvement, enabling robust performance across diverse long-horizon tasks.
Future tactile states can be predicted more effectively from intermediate action features, transforming how we approach tactile supervision in robotic manipulation.
Muon optimizer now lets you train LLMs twice as fast as AdamW, as validated by a new 3B/16B MoE model called Moonlight.
