Search papers, labs, and topics across Lattice.
4
0
8
0
FLEXRec shows that compact LLMs can achieve state-of-the-art recommendation accuracy without the computational burden of larger models.
Model collapse isn't just about performance loss; it can polarize competence, but KITE offers a solution that ensures consistent improvement in LLMs.
ASAP achieves faster and more efficient hyperparameter optimization by integrating diverse optimizers and re-architecting the evaluation loop, leading to substantial wall-clock time reductions.
LLMs show significant variability in the actionability of their UX critiques, with some models outperforming others across different product categories.
