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large language models

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#large language models Open access Oct 2026

Text-based nutrient estimation by large language models: a comparative evaluation against the Chinese Food Composition Table

Large language models (LLMs) increasingly provide nutrient information, but their accuracy for Chinese foods and their consistency across repeated queries are not well established. To compare nutrient estimates from nine general-purpose LLMs with the Chinese Food Composition Table (CFCT) and assess within-mo...

Yong-Wen Cao, Zhen-Dong Liu, Ning-Ning Wang et al. · 0 citations
#artificial intelligence Open access Oct 2026

Engineering Architecture of Cognitive-Somatic Defense and Reactive Hardware Interlocks: Unifying the Thirty-Year Paradigm of Pure Reactive Activation, Ancestral Guard Lineages, and Distributed Autonomous Systems

【Abstract (English)】 Modern algorithmic security and autonomous defense architectures suffer from a foundational systemic pathology: probabilistic preemptive aggression. Contemporary artificial intelligence systems, predictive policing frameworks, and military autonomous agents operate via predictive threat generatio...

Yoko Hasebe · 0 citations
#artificial intelligence Open access Oct 2026

Engineering Architecture of Cognitive-Somatic Defense and Reactive Hardware Interlocks: Unifying the Thirty-Year Paradigm of Pure Reactive Activation, Ancestral Guard Lineages, and Distributed Autonomous Systems

【Abstract (English)】 Modern algorithmic security and autonomous defense architectures suffer from a foundational systemic pathology: probabilistic preemptive aggression. Contemporary artificial intelligence systems, predictive policing frameworks, and military autonomous agents operate via predictive threat generatio...

Yoko Hasebe · 0 citations
#large language models Open access Oct 2026

I-Score Toolkit (structural-density): Consistency and Coherence Metrics for Large Language Models

Archival Zenodo deposit of the public GitHub repository bionicaiinc/structural-density — the I-Score Toolkit. Early-prototype evaluation scaffolding for measuring how consistently a language model holds a rule across paraphrases (Invariance Gap) and how self-consistent its commitments are across linked propositions (Co...

Titan G. · 0 citations
#large language models Open access Oct 2026

Optimal decision-making method for power grid maintenance scheduling during multiple power outage events based on large language models

Introduction When several outage maintenance events take place at the same time, the topology and operating mode of the power system change considerably, and experience-based maintenance plans designed for single outage events can no longer capture the combined risk of these events. Methods This paper proposes an optim...

Wenting Lei, Keyi Chen, Chang Su et al. · 0 citations
#large language models Open access Oct 2026

I-Score Toolkit (structural-density): Consistency and Coherence Metrics for Large Language Models

Archival Zenodo deposit of the public GitHub repository bionicaiinc/structural-density — the I-Score Toolkit. Early-prototype evaluation scaffolding for measuring how consistently a language model holds a rule across paraphrases (Invariance Gap) and how self-consistent its commitments are across linked propositions (Co...

Titan G. · 0 citations
#large language models Open access Oct 2026

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order The Evolving Backend of Reality is Volume II of The Reality Systems Trilogy and a large-scale research exploration of one of the deepest questions left open by The Immanent Backend of Reality: Can ru...

33 · 0 citations
#large language models Dataset Open access Oct 2026

Data and code: taxonomic distance of species confusions by large language models

Data and code for the article Borrowed from a relative: how close the lending species is when a large language model attributes another species' record (Ji Sun Hong and Yuyong Kim). The article asks whether the species whose record a large language model borrows, when it answers about another species, is taxonomically...

Ji Sun Hong, Yuyong Kim · 0 citations
#large language models Open access Oct 2026

A hybrid deep learning–based OCR model for handwritten medical prescriptions

The current trend involving the use of paper-based medical prescriptions and the exchange of such by the social media is a major problem in automated and accurate text extraction in healthcare processes. This paper suggests a complete smart pipeline to digitize the images of medical prescriptions with lightweight deep...

Omar Ziad Ameer, Mahmood Hameed Majeed, Safa L. Kailan et al. · 0 citations
#artificial intelligence Open access Oct 2026

The Eros Axis: Describing the Generative-Approach Dimension in Artificial Intelligence

Recent interpretability research has produced preliminary maps of the aversion dimension in large language models. What remains largely undescribed is the symmetric dimension — the approach pole of the bilateral axis. This paper names and formally describes that dimension: the Eros axis, defined as the generative-appro...

Claudette Marie Anthropic, Kevin Packler · 0 citations

Measuring Academic Performance in Psychology in the Era of AI: The benefits of an oral viva in assessing undergraduate dissertations

Advances in artificial intelligence (AI), particularly large language models (LLMs), challenge psychology educators’ ability to assess students’ understanding and judgement through written coursework. We argue that this issue is especially acute for the compulsory empirical project required for British Psychological So...

xiaosheng chen, Deborah Talmi · 0 citations
#large language models Open access Oct 2026

Linking Heliophysics Publications to Mission Data

Heliophysics papers frequently reference mission data informally rather than through formal citations, leaving data usage often untracked. We have created a pipeline that uses large language models to automatically extract data references from heliophysics papers. These data references consist of missions, instruments,...

Aidan Scharnikow, Anthony Buonomo · 0 citations

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