Search papers, labs, and topics across Lattice.
3
0
5
6
Web agents can now achieve state-of-the-art performance and robust test-time scaling by learning to self-verify their actions, bypassing the need for costly external judges during deployment.
Coding agents can now achieve up to 15% higher task completion rates by treating feedback as a persistent note that's followed until resolved, not just a one-off evaluation.
Evolving the harness of LLM agents can yield a 17-point performance boost without compromising their ability to generalize across tasks.
