News

How a big shift in training LLMs led to a capability explosion
When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...
Physician's Weekly8h
Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.
The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...
Unite.AI1d
Enhancing AI Efficiency with Shorter Reasoning Chains in Large Language Models
Large Language Models (LLMs) have transformed Artificial Intelligence (AI) by generating human-like text and solving complex ...
Unite.AI2d
Why Large Language Models Forget the Middle: Uncovering AI’s Hidden Blind Spot
As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history ...
IEEE5d
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence - IEEE Xplore
The evolution of wireless networks gravitates toward connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper-connected ...
What Is AI Medical Scribe and How Does It Work
Medical professionals are busy. Between diagnosing patients, updating charts, and managing staff, there’s little time left ...
Zacks Investment Research on MSN6d
5 Must-Buy High-Flying Stocks With AI Frenzy Set to Dominate H2 2025
The astonishing rally of U.S. stocks in 2023 and 2024 continued in the first half of 2025, albeit at a slow pace. The rally ...
IEEE6d
Towards Knowledge Enhanced Language Model for Machine Reading Comprehension - IEEE Xplore
Machine reading comprehension is a crucial and challenging task in natural language processing (NLP). Recently, knowledge graph (KG) embedding has gained massive attention as it can effectively ...