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The analysis suggests that technologies such as NLP and large language models may both reproduce and challenge existing linguistic hierarchies, raising important questions about representation, diversity, and equity in digital environments.
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...
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 a proprietary system and architectural logic pro...
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 a proprietary system and architectural logic pro...
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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...
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...
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...
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.
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...
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...
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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