Search papers, labs, and topics across Lattice.
Affiliation:
3
0
5
Evaluated on recommendation models, Auto-RecSys significantly reduces the human time required per experiment cycle and improves execution reliability as its playbooks mature.
WHALE unifies non-sequence and sequence feature modeling, achieving superior recommendation performance while maintaining efficiency in industrial settings.
Forget quadratic complexity: ULTRA-HSTU achieves 21x faster inference and 4-8% better engagement in large-scale recommendation by co-designing input sequences, sparse attention, and model topology.
