Academic Articles & Research Papers

Early Depression Detection in Social Media: Monitoring of Individual Nighttime Dynamics and Large Language Model Analysis.

Recent Advances in Knowledge Representation and Management in Healthcare: the Emerging Role of Large Language Models.

Bridging large language model-based agents and workflow languages for automated multi-perspective analysis of single-cell RNA sequencing data.

The potential role of large language models in addressing phenoconversion in pharmacogenomics.

Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study.

Large language model-based paper classification framework with key-insight extraction and confidence-weighted voting.

The Structural Sources of Verb Meanings Revisited: Large Language Models Display Syntactic Bootstrapping.

Navigating digital surgical advice: evaluating the reliability of large language models for pediatric phimosis.

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study.

Large language model-based evaluation of the impact of gender in medical research.

Cultural bias in large language models' ability to follow neuroradiology guidelines.

When the Algorithm Becomes the Dietitian: Large Language Model Hallucinations, Algorithmic Food Environments, and the Erosion of Nutritional Autonomy.

Large Language Model-Generated Electronic Consultations: A Blinded Comparative Study of OpenEvidence and Gastroenterologist Electronic Consultations.

Developing a FAIR data policy for chemical risk assessment and exploring future topics and stakeholder interests with large language models and data sciences.

Research on the construction of an adaptive mindfulness-based cognitive therapy system based on large language models and its efficacy in addressing college students' anxiety.

Context presentation and native conversation structure in large language model responses to escalating suicide risk: a controlled multimodel evaluation

BackgroundLarge language models are increasingly used for informal mental health support, yet their safety during escalating suicide-risk conversations may depend on how prior information is presented. Native multi-turn conversations and re...

System 2 Thinking in OpenAI’s o1-Preview Model: Near-Perfect Performance on a Mathematics Exam

The processes underlying human cognition are often divided into System 1, which involves fast, intuitive thinking, and System 2, which involves slow, deliberate reasoning. Previously, large language models were criticized for lacking the de...

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

Evaluating an LLM-assisted workflow for clinical documentation: A pilot randomized controlled trial on time and quality.

Large language models (LLMs) have been investigated for clinical documentation, with concerns about hallucinations and factual errors. Clinician review and revision of LLM-generated drafts are considered essential; however, the impact of su...

Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis

Sentiment analysis is essential for comprehending public opinion, particularly when considering e-commerce and the expansion of online businesses. Early approaches treated sentiment analysis as a document or sentence-level classification pr...