2 papers
cs.CL2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
Sanchit Sinha, Yuguang Yue, Victor Soto +3
Adapting large language models (LLMs) to unseen tasks with in-context training samples without fine-tuning remains an important research problem. To learn a robust LLM that adapts…
stat.ML2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems
Xinjie Fan, Yuguang Yue, Purnamrita Sarkar +1
Selecting hyperparameters for unsupervised learning problems is challenging in general due to the lack of ground truth for validation. Despite the prevalence of this issue in stati…