Search papers, labs, and topics across Lattice.
7
0
10
4
Agents can now autonomously teach themselves creative skills using high-quality human texts, bypassing the need for expensive human feedback.
AOHP redefines how AI agents interact with operating systems, achieving a 21% boost in task completion and a dramatic cut in execution costs.
ActProbe predicts robot policy failures before they become visually apparent, enhancing both detection accuracy and operational efficiency in real-world tasks.
Novelty-driven interaction enables agents to explore more effectively while using memory efficiently, outperforming traditional methods in open-ended environments.
Current mobile GUI agents struggle with complex, long-horizon tasks in realistic simulated environments, achieving only a 17.82% success rate on SimuWoB.
AtomWorld achieves the previously impossible: simulating the degradation of reactor pressure vessel steel at the atomistic level across year-and-meter scales.
LLMs can learn to generate more "organic" pull requests by distilling coding style, API usage, and architectural invariants from a project's commit history, leading to better acceptance rates.
