Search papers, labs, and topics across Lattice.
Washington University in St. Louis, Oak Ridge National Laboratory
4
0
8
Real-time user feedback can now directly optimize diffusion models for personalized recommendations, eliminating the need for extensive preference data.
IMPFM achieves unprecedented global exploration in feedback-driven search by leveraging multi-particle interactions to prevent mode collapse and reward over-optimization.
A malicious parameter server can exploit parameter-efficient fine-tuning to implant a privacy backdoor that reconstructs training data with alarming accuracy.
Stop training in isolation: LNTrust lets decentralized models learn *who* to trust during training, so they can collaborate effectively at deployment, boosting accuracy and cutting communication costs.
