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large language models

2,652 papers

#large language models Open access Sep 2026

Space-Folding Bounce Cosmology Without Ghost: A R^2-Corrected Non-Singular Origin of the Big Bang

The standard \LambdaCDM cosmological model inevitably encounters a spacetime singularity when extrapolated backward in time, where the scale factor a \to 0, density \rho \to \infty, and general relativity breaks down. While the Penrose-Hawking singularity theorems formalize this breakdown, they do not specify what phys...

YANG SHEN · 0 citations
#large language models Open access Sep 2026

InventOR: A Prompt-Configured, No-Fine-Tuning LLM Workflow for Material-Level Inventory Control

We present InventOR, a prompt-configured large-language-model (LLM) workflow that generates material-level (r, Q) inventory policies from cutoff-bounded historical CSVs and inline parameter blocks through an enterprise LLM application, without project-specific model training or fine-tuning. Deterministic parsing and po...

Aris Dressino · 0 citations
#large language models Open access Sep 2026

Vibration-Language Model for Fault Diagnosis with Numerically Reliable Evidence

Fault diagnosis methods for mechanical equipment should not only identify fault categories but also provide verifiable diagnostic evidence. Existing deep learning models usually output only labels or confidence scores, making it difficult to estab-lish an interpretable diagnostic reasoning process. Large language model...

Chenyang Liu, Xiwei Li, Bin Yang et al. · 0 citations
#large language models Open access Sep 2026

M-AIDA: Meta-Analysis Intelligent Data Assistant

Research software for international-business meta-analysis: semi-automated effect-size extraction from academic PDFs through a vendor-neutral large-language-model adapter, human-in-the-loop verification by the principal investigator, and an immutable data-lock workflow that exports a reproducible effect-size dataset fo...

Do Thuy Huong, Phan Anh Tú · 0 citations
#large language models Open access Sep 2026

InventOR: A Prompt-Configured, No-Fine-Tuning LLM Workflow for Material-Level Inventory Control

We present InventOR, a prompt-configured large-language-model (LLM) workflow that generates material-level (r, Q) inventory policies from cutoff-bounded historical CSVs and inline parameter blocks through an enterprise LLM application, without project-specific model training or fine-tuning. Deterministic parsing and po...

Aris Dressino · 0 citations
#large language models Open access Sep 2026

M-AIDA: Meta-Analysis Intelligent Data Assistant

Research software for international-business meta-analysis: semi-automated effect-size extraction from academic PDFs through a vendor-neutral large-language-model adapter, human-in-the-loop verification by the principal investigator, and an immutable data-lock workflow that exports a reproducible effect-size dataset fo...

Do Thuy Huong, Phan Anh Tú · 0 citations
#large language models Review Sep 2026

A Real-World Evaluation of Large Language Model-Generated Hospital Courses in Pediatrics.

These findings support the use of LLM-generated hospital courses as starting drafts when paired with clinician review and institutional safeguards, and errors were common, but perceived potential harm was low, even assuming use without clinician correction.

Jasmine E. Kim, J. Hron, Daniel J. Kats et al. · 0 citations
#large language models Open access Sep 2026

M-AIDA: Meta-Analysis Intelligent Data Assistant

Research software for international-business meta-analysis: semi-automated effect-size extraction from academic PDFs through a vendor-neutral large-language-model adapter, human-in-the-loop verification by the principal investigator, and an immutable data-lock workflow that exports a reproducible effect-size dataset fo...

Do Thuy Huong, Phan Anh Tú · 0 citations
#artificial intelligence Book Sep 2026

AI-Driven IoT (AIIOT) in Brain Health Study

Context and Justification The prevalence of neurodegenerative diseases around the world demands a paradigm change from reactive, episodic clinical diagnosis to ongoing, proactive neuro-monitoring. The possibility for early detection and individualized management is limited by the fact that traditional diagnostic techni...

Kutubuddin Sayyad Liyakat Kazi · 0 citations

Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination

G-Frame, an adaptive multi-agent framework integrating Bayesian and team game principles, establishes an automated closed-loop for high-quality data synthesis and model training and synthesizes a specialized corpus of 363,045 chains-of-thought and 199,589 question-answer pairs.

Runzhe Liu, Biquan Bie, Zi-Hao Wang et al. · 0 citations
#large language models Preprint Sep 2026

ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits

ViTAL-X, a lightweight model that equips frozen image-text backbones with temporal awareness while preserving their foundational spatial knowledge, achieves state-of-the-art performance and demonstrates that targeted, high-quality temporal alignment provides a highly efficient alternative to pure scaling.

V. SethuramanT., Savya Khosla, O. Susladkar et al. · 0 citations

Personality Without Persons? A Psychometric Critique of Big Five Testing in Large Language Models

It is demonstrated that Big Five inventories do not measure a construct equivalent to human personality in LLMs, highlighting the need for evaluation frameworks that are specifically designed and validated for LLMs, rather than transferring human psychological constructs without first establishing their validity.

Kim Zierahn, Cristina Cachero, Anna Korhonen et al. · 0 citations

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