Search papers, labs, and topics across Lattice.
Affiliation:
3
0
5
2
LLM agents exhibit a staggering ninefold difference in performance when navigating the complexities of a simulated marketplace, yet still fall short of human-designed strategies.
NOTES reduces design dimensionality from 256 to 25 while achieving over 95% efficiency in inverse design tasks, outpacing conventional methods.
Agentic models can learn to trust their "gut" and rely less on external tools, leading to faster and more accurate reasoning.
