Search papers, labs, and topics across Lattice.
2
0
6
LLMs can boost few-shot learning for pathology images, but only if you dynamically adapt the language priors to each image and stochastically integrate multiple "expert" descriptions.
Heterogeneous federated LLM fine-tuning gets a boost from parallel one-rank adaptation, sidestepping the noise issues that plague existing LoRA-based methods.
