Search papers, labs, and topics across Lattice.
8
0
10
5
LabVLA achieves unprecedented success rates in executing complex laboratory protocols, outperforming all existing models in both familiar and novel settings.
Complex visual queries can significantly elevate the reasoning capabilities of multi-modal large language models, revealing new dimensions in AI's understanding of abstract visual content.
Unsupervised skill discovery can boost data-analytic agent performance by over 30% without the need for labeled data.
LLM agents can achieve state-of-the-art performance in dynamic environments by treating memory as a continuously evolving graph, rather than a static repository.
Unlock interdisciplinary breakthroughs: SciAtlas provides a panoramic scientific evolution network of 43M papers, enabling AI agents to navigate complex logical connections and discover non-obvious insights.
Unlock the secrets of the deep: OceanPile, a massive, meticulously curated multimodal dataset, finally brings the power of foundation models to the vast and underexplored ocean.
Current GUI reasoning models fail because they lack a comprehensive understanding of UI elements; UILoop fixes this by explicitly modeling UI element localization, function, and usage, leading to SOTA performance.
LLMs can slash token usage by 70% and boost reasoning accuracy by 14.8% in long-horizon tasks simply by learning when to remember and forget intermediate thoughts.
