Search papers, labs, and topics across Lattice.
Affiliation:
4
0
8
0
LLMs struggle significantly with raw electromagnetic signal analysis, scoring as low as 21.2% on complex tasks despite high performance on simpler ones.
MALT outperforms Muon in pretraining language models while keeping memory usage and computation time nearly identical.
Low-KL agreement can trap models in ineffective training regimes, but KAT offers a dynamic solution that boosts accuracy while slashing rollout lengths.
Quantizing user preferences into discrete tokens unlocks personalized multimodal content generation with improved consistency between modalities.
