Financial institutions want to read the narrative of markets with language models, but much of what matters most — internal research, positions, committee notes, client communications — cannot leave their perimeter. This report describes how Epistemic Symmetry Theory (EST), a framework that detects regime changes in ma...
Giovanni P Barabino· Zenodo (CERN European Organi...· 0 citations
Autonomous vehicle (AV) crashes continue to occur, indicating the need for a comprehensive understanding of their characteristics to support safety management in future mixed-traffic environments. Previous studies employing text mining or rule extraction have faced limitations in generalizing findings due to small, het...
Songha Lee, Nuri Park, Hojae Kim et al.· Figshare· 0 citations
Background-Science and social studies (IPAS) at SDN Kampung Bulak 01 relied on textbooks and teacher-centered explanations, limiting contextual cultural engagement and the development of nationalist attitudes. Objectives-This study aimed to develop and evaluate an Augmented Reality (AR)-based comic learning media for f...
Lativa Qurrotaini, Alisha Zahra Saadiyah· Research and Development in...· 0 citations
This dataset contains 148 questionnaire response records on AI use, cognitive offloading, and academic stress among university students. Prepared for a thesis on AI dependency and academic stress, it provides 43 variables for analysis and exploratory machine learning. Each row is one response. Responses were collected...
M Townid Alam Touki, Zarif Noor, Jihad Hasan Jewel et al.· Mendeley Data· 0 citations
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Abstract We develop a Hamiltonian N-Space framework in which physical space is modeled as a static granular substrate endowed with a network capable of transporting spectrally distributed energy. Energy transport through this network defines a spectral flux. Persistent localized configurations of spectral energy are de...
Narcis Petenchia· Zenodo (CERN European Organi...· 0 citations
Language model services count, limit and bill text in tokens, but the number of tokens needed for the same content depends on the language and on the tokenizer. We measure this token ratio relative to English for the 23 non-English official languages of the European Union on nine tokenizers of 2026: six company tokeniz...
Thomas Serval· Zenodo (CERN European Organi...· 0 citations
Network Intrusion Detection Systems (NIDSs) based on machine learning have demonstrated strong performance against known attack patterns. However, their robustness against adaptive evasion strategies orchestrated by modern Large Language Models (LLMs) remains largely unexplored. This study presents a reproducible frame...
Locally run small language models enable generating SQL from natural language without sending the database schema to third-party servers. However, a model fine-tuned only to "translate the question into SQL" can also translate destructive or unauthorized commands embedded in the prompt. In this report we measure, under...
Oğuz Kağan Kahraman, Galip Savas Ilgi· Zenodo (CERN European Organi...· 0 citations
The findings support use of LLMs in endodontic diagnosis and treatment planning as adjunctive tools, but not without expert supervision, and performance was endpoint-specific and substantially reduced on integrated assessment and low-prevalence categories.
Mahmoud Torabinejad, P. Tordik, Mona Alenezi et al.· Journal of Endodontics· 0 citations
A ReAct-style agent accumulates observations, intermediate results, and failed attempts in a single context. As this context grows, stale and off-path information consumes its limited capacity and obscures relevant evidence, making focused reasoning increasingly difficult. We introduce TreeFlex, a framework in which th...
Dong-Zhuo Li, Fang-Zhou Cheng, Wei-Wei Li et al.· 0 citations
Linters are widely used in code maintenance and real-time IDE editing to surface lint alerts related to performance, style, error-prone, and other patterns in source files. However, existing code benchmarks do not explicitly evaluate linter-guided file refactoring, where models must reduce lint alerts in source files w...
Tong-Wei Deng, Jin-Yu Zhu, Yue Cao et al.· 0 citations
GURI (Gray-box Uncertainty Representations with Identity), a lightweight gray-box hallucination detector that combines candidate-token probabilities with per-token vector identifiers that exposes which alternatives the model considered while preserving the accessibility and transferability of the gray-box setting.
S. Goldshtein, Yitzchak Grunbaum, Fabrizio Frasca et al.· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
