Search academic resources

BackgroundReducing under-5 mortality remains a global health priority. Large language models (LLMs) are increasingly used by the public to access medical information. However, current evidence evaluating LLMs’ performa...

"Los Modelos de lenguaje de gran tamaño, mejor conocidos por su terminología en inglés Large Language Models (LLM), son una parte constituyente de la inteligencia artificial (IA) generativa que desde fines de 2022 se ...

Programmable metasurface has become a prominent tool in various areas including control, communication, computing, and so on, due to its unique capability in the electromagnetic (EM) manipulation. However, it is lack of ...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

Abstract Risk of bias assessment is a crucial step in evidence synthesis. The traditionally adopted tool, however, is complex, resource-intensive, and unreliable. While prior investigations have focused on whether Large ...

BackgroundDigital tools are reshaping public health education and training, yet evidence on whether large language models (LLMs) can generate specialist ophthalmic teaching materials remains limited. High myopia (HM), a ...

Large language models (LLMs) have demonstrated encouraging performance for medical natural language processing (NLP) tasks, approaching human-equivalent performance in some of the standard benchmarks, positioning them as...

IntroductionLarge language models (LLMs) show great promise as tools for assisting scientific peer review, but their agreement with human experts in quantitative assessment of academic content needs further investigation...

IntroductionLarge language models (LLMs) may support clinical reasoning, yet real-world outpatient studies integrating structured clinical data with chest radiographs (CXRs) remain limited. We compared three LLMs for pul...

Background: Large language models (LLMs), a revolutionary breakthrough in artificial intelligence, can be leveraged to automatically generate impressions for radiology reports, which usually require time, effort, and tra...

In the field of autonomous vehicles (AVs), accurately discerning commander intent and executing linguistic commands within a visual context presents a significant challenge. This paper introduces a sophisticated encoder-...

To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict lane change intentions of surrounding vehicles in advance and forecast their future trajectories. Ex...

This study examines the potential impact of Large Language Models (LLMs) on the Ukrainian labor market. For the first time, it attempts to estimate the share of employees that can be replaced by generative AI technology ...

Abstract Efficient management and optimal allocation of urban public sports facilities represents a critical challenge in modernizing public sports service governance. Current approaches to facility utilization assessmen...

Traffic forecasting is crucial for intelligent transportation systems. It has experienced significant advancements thanks to the power of deep learning in capturing latent patterns of traffic data. However, recent deep-l...

Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Employee compliance with Information Security Policies (ISPs) depends on communicating clear and comprehensible content. However, existing research has shown that many ISPs are of poor communicative quality. Large Langua...

Background: Patient education for coronary heart disease (CHD) is increasingly facilitated by large language models (LLMs). However, it remains unclear whether the origin of the models (United States vs. China) affects t...

This research explores the use of large language models (LLMs) to automate cyber range sandbox configuration with SaltStack. LLMs translate natural language prompts into executable SaltStack states, streamlining the envi...

Large language models (LLMs) have gained significant prominence in language processing, demonstrating remarkable performance across a wide range of tasks. Recently, LLMs have been explored in various scientific fields be...

Manual grading of English as a Foreign Language (EFL) essays often leads to inconsistent scores among educators, despite the use of rubrics. While traditional Automated Essay Scoring (AES) systems offer speed, they often...

With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo...

In recent years, generative artificial intelligence represented by large language models (LLMs) and multimodal large language models (MLLMs) has achieved remarkable progress. These ultra-large-scale and complex models im...

Abstract Objective This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making in obstetrics. Methods Five fictional obstetric patient cases, ...