Track synthesis, materials and catalysis as it is published.
Search papers, labs, and topics across Lattice.
4
0
8
Robots can learn from fleet-wide failures and successes to autonomously improve their policies, achieving near-perfect reliability without any new human corrections.
On-policy LLM distillation does not actually need precise advantage magnitudes: retaining merely the directional sign of token advantages matches standard distillation performance while Total Variation smoothing eliminates late-stage training instability.
FastMTP speculative decoding doubles the decoding speed on low-budget GPUs while maintaining high accuracy in document parsing.