Track synthesis, materials and catalysis as it is published.
Search papers, labs, and topics across Lattice.
3
0
7
0
LLM tutors trained to adapt to individual student learning preferences achieve a 20.5pp performance boost and significantly outperform base models in human preference studies.
EEVEE's innovative router-prompt co-evolution strategy enables LLMs to thrive in diverse, real-world task environments, outperforming existing methods by up to 48.2%.
AI can now design better AI: ASI-Evolve discovers SOTA architectures, curates pretraining data, and designs RL algorithms, outperforming human-designed baselines by significant margins.