We introduce and define the novel problem of multi-distribution informat...
Generative Pre-trained Transformer (GPT) models have exhibited exciting
...
A long standing goal of the data management community is to develop gene...
Large language models (LLMs) transfer well to new tasks out-of-the-box s...
A key promise of machine learning is the ability to assist users with
pe...
Users and organizations are generating ever-increasing amounts of privat...
Language models (LMs) have made remarkable progress, but still struggle ...
A challenge for named entity disambiguation (NED), the task of mapping
t...
We study the settings for which deep contextual embeddings (e.g., BERT) ...