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.· Zenodo (CERN European Organi...· 0 citations
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.· Frontiers in Energy Research· 0 citations
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.· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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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· Zenodo (CERN European Organi...· 0 citations
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.· Frontiers in Medicine· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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...
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· Zenodo (CERN European Organi...· 0 citations
The rapid proliferation of large language models (LLMs) has made it increasingly difficult to distinguish AI-generated and AI-rephrased text from authentic human writing, posing serious risks to academic integrity, journalism, and e-commerce credibility. This paper presents a rigorous benchmark evaluation for three-w...
Najma Sadia, Muhammad Naeem Khan, Muhammad Shahzad Faisal et al.· Scientific Reports· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
Patients with rheumatic diseases have persistent information needs that are not fully addressed in routine care. We developed and evaluated guideline-grounded, large language model (LLM) chatbots to support patient self-management and education in rheumatology. Ten disease-specific chatbots based on German guidelines w...
Tim Wilhelmi, Vanessa Bartsch, Marius Platt et al.· Journal of medical systems· 0 citations
