Large Language Model
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram Jungwoo Oh
Despite this remarkable progress, there is a noticeable absence of datasets that combine electrocardiogram (ECG) data with question answering.
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
Recent successes in natural language processing have led to the proliferation of large language models (LLMs) by multiple providers. Each LLM offering has different inference accuracy, monetary cost, and latency, and their accuracy further depends on the exact wording of the question ( i .
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
We carry out our study by constructing a 1.4 trillion-token datastore named M
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
Large-scale pre-trained generative models are taking the world by storm, due to their abilities in generating creative content.
