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Page 3 - Meeting Of The Association For Computational Linguistics News Today : Breaking News, Live Updates & Top Stories | Vimarsana

USC Experts Invent Way To Extract Global Events In Every Language

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

AI Research Blog - The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture

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 encode clinical knowledge

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

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
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