Answers to these simple questions can help you understand an event, which is why this is the type of information event extraction is on the hunt for. Event extraction is a natural language processing (NLP) technique that allows for names, dates, even
A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to address these limitations, we present MultiMedQA, a benchmark combining six existing medical question answering datasets spanning professional medicine, research and consumer queries and a new dataset of medical questions searched online, HealthSearchQA. We propose a human evaluation framework for model answers along multiple axes including factuality, comprehension, reasoning, possible harm and bias. In addition, we evaluate Pathways Language Model1 (PaLM, a 540-billion parameter LLM) and its instruction-tuned variant, Flan-PaLM2 on MultiMedQA. Using a combination of prompting strategies, Flan-PaLM achieves state-of-the-art accuracy on every MultiMedQA multiple-choice dataset (MedQA3, MedMCQA4, PubMedQA5 and Measu
Researchers teach an AI to write better chart captions: A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.
A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This could help improve accessibility for people with visual disabilities.