large language models

Automated Mobile Surface Recovery System and Graphalt™ Pre-Fabricated Smart Pavement Deployment Topology

GENSI HOLDINGS LLC PRIOR-ART DEPOSIT | ALL RIGHTS RESERVED AUTHOR: STEPHAN RICHARD LEE (ORCID iD: 0009-0008-1177-3857) REGISTRY CONTACT: gensi.25.1@protonmail.com [ABSOLUTE OWNERSHIP & COMMERCIAL CLAUSE] This deposit establishes ironclad, immutable prior-art ownership of the EnviRoad infrastructure ecosystem, comprisin...

Large language models eroding science understanding: an empirical study of malignment

This paper is accepted and in press for AI and Ethics. This paper includes the supplementary data file at the end of the manuscript. This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by fringe scientific material. The aut...

Medical Concept Normalization of German Clinical Expressions to SNOMED CT.

Combining domain-specific embedding-based retrieval with LLM-based reranking substantially improves MCN performance compared to a standalone LLM approach, and supports robust semantic matching between German clinical expressions and standardized terminology concepts, facilitating structured representation and enabling...

A retrieval-augmented model guided zero-shot prompt for LLM to detect mental disorders in social media text

It is demonstrated that integrating clinically grounded retrieval-augmented reasoning with zero-shot prompting significantly enhances the Accuracy and reliability of mental health disorder detection from social media text.

Language, Social Support, and Recovery-Stage Transitions in Opioid Use Disorder on Reddit: Computational Analysis

Abstract Background Recovery from opioid use disorder (OUD) is a complex, nonlinear process involving substantial health, psychological, and social challenges. Although online social support has been shown to benefit individuals with OUD, less is known about how recovery stages, such as the initial or stable stages, ar...

Large language models in ophthalmology: promise, peril, and the urgent need for guardrails

Evaluating Clinical Symptom Extraction and Reasoning in Local Large Language Models: A Proof-of-Concept Study of Symptom-Specific Performance in Cardiology

Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making

Recent advances in large language models and multimodal foundation models have enabled artificial intelligence agents to jointly process text, images, and other modalities while performing multi-step reasoning and interacting with external tools. Despite this progress, autonomous agents remain prone to compounding erro...

Robotic Pet Companions Integrated with Large Language Models for Cognitive, Emotional, and Social Engagement of Elderly Persons

Psychology-Grounded Individualized Artificial Mental Model

Personalizing rehabilitation requires predicting how individual patients will experience pain yet two patients undergoing identical surgery can report starkly different outcomes. This heterogeneity is not noise: it is systematically driven by personality, beliefs, emotional state, and life circumstances. Psychology has...

AI-Assisted Risk and Incident Analysis: Advances and Future Opportunities

Operational risk and security incidents now unfold across distributed, cloud-native estates that generate volumes of telemetry no human team can manually triage at speed. Over the past decade, artificial intelligence (AI) and machine learning (ML) have moved from experimental log-mining prototypes to production compone...

The invention of interlanguages

Abstract Theories of translation often posit that in order to translate between languages it is necessary to translate first into an interlanguage of one kind or another. This chapter examines not only the invention of a new kind of interlanguage but also the invention of some of the object languages that the interlang...