Search papers, labs, and topics across Lattice.
2
0
4
0
Ditch the handcrafted coefficients: DyWeight learns how to dynamically weight gradients in diffusion model sampling, slashing compute while boosting image quality.
LLM-based recommenders can be dramatically improved (up to 109% Recall@5) by using counterfactual rewards and uncertainty-aware scaling within a reinforcement learning framework, enabling flexible adaptation to diverse recommendation scenarios.
