large language models

Identifying Implicit Premises for Logical Reconstruction of Argument Graphs

A neuro-symbolic pipeline is proposed that uses large language models to generate intermediate implicit premises that are translated into logical formulae and used with logical formulae representing explicit premises and explicit claims to show the logical relationships between them (entailment, contradiction, or neutr...

E<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="feng-ieq1-3676689.gif"/></alternatives></inline-formula>LLM: Structure-Guided Efficient Inference for LLMs in Distributed Edge

Large language models (LLMs) are increasingly deployed in edge computing environments to reduce latency and preserve privacy. However, their inference process presents fundamental challenges for resource-constrained IoT devices. LLM inference involves computationally asymmetric stages: parallelizable prompt processing...

EXPLAINING TOURISM AND HOSPITALITY STUDENTS' ADOPTION OF LARGE LANGUAGE MODELS IN HIGHER EDUCATION: AN INTEGRATED TAM–UTAUT FRAMEWORK USING PLS-SEM AND NECESSARY CONDITION ANALYSIS

The rapid integration of large language models (LLMs) in higher education has transformed students' learning practices, particularly in applied disciplines such as tourism and hospitality education. Yet, limited empirical research explains the factors driving their adoption. Drawing on the Technology Acceptance Model (...

DECODING SOMATIC COMMUNICATION: A TRIADIC HUMAN-AI CO-CREATION FRAMEWORK FOR POST-CANCER PATIENT AUTONOMY

This paper outlines a systematic framework designed to integrate generative AI modalities into the field of restorative tattoo art, specifically targeting psychological and somatic rehabilitation post-oncological disease.

Physics-informed large language model with contrastive temporal embedding for transient thermal-hydraulic prediction in loss-of-coolant accidents

Large language model-designed intelligent precision orbit control for satellite constellations under extreme environments

A benchmark of large language models for spatially informed proposal generation in local search for the p-median problem

A Scalable Graph Neural Framework for Cross-Platform Trust and Intent Modeling in Large Language Model Systems

Large language models as soft information reasoning tools: A novel multimodal deep learning method for electrolytic copper price prediction

Can large language models predict solar irradiance in the long term?

SHIELD: Advanced persistent threats detection and intelligent explanation using large language models

Oversampling method using large language model for malicious JavaScript code detection