Building smart territories faces challenges for more efficient services and facilities, as well as supporting the intelligent development of the tourism industry in terms of data analysis and prediction, automation and intelligence, personalization and customization, intelligent decision support, and exploration. In th...
Nelson Salgado-Reyes, Gustavo Chafla-Altamirano, José Ramiro Pilaluisa Quinatoa, Adrián Alejandro Macias Palma, Ader Frederich Suarez Mera· Research· 0 citations
C++-Eval: A C++ Evaluation Benchmark for Large Language Models C++-Eval is a comprehensive benchmark for evaluating the C++ code generation capabilities of Large Language Models (LLMs), with a focus on complex memory management and industrial-grade software engineering requirements. Dataset Statistics 200 multi-level C...
LZX-zx-em· Zenodo (CERN European Organi...· 0 citations
The paper replaces the question whether a language model is conscious with a measurable one: which functions of consciousness a trained Transformer has generalized from human text, and how far, against the human baseline. One physical assumption carries the account: computational budgets are finite. A finite budget dis...
Victor Smirnov· Zenodo (CERN European Organi...· 0 citations
Large language models are commonly evaluated by the quality of the content they generate. This paper argues that this focus is fundamentally misplaced. In probabilistic systems, content quality is a secondary property; the primary determinant of meaning, reliability, and trustworthiness is the existence of explicit pri...
Thomas Gessler· Zenodo (CERN European Organi...· 0 citations
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This dataset accompanies a mixed-methods pilot study of an eight-week intervention (22 October – 17 December 2025). In the intervention, 54 university EFL students in China used freely available large language model chatbots for low-stakes speaking practice. The chatbots used were DeepSeek, Doubao, ChatGPT, Kimi Chat a...
Anonymous· Zenodo (CERN European Organi...· 0 citations
msf:47220 v2.0 establishes the atmospheric master foundation of USP Field Theory. The document begins from standard atmospheric physics rather than from a USP-specific force or frequency law. Its operational hierarchy is: standard dynamical closure → forcing and boundary conditions → transport and phase change → organi...
Sepehri, Sadegh· Zenodo (CERN European Organi...· 0 citations
State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...
Chandramouli· Zenodo (CERN European Organi...· 0 citations
Abstract Despite the vast potential of large language models (LLMs) in specialized fields, their application in architecture, engineering, and construction (AEC) has been hindered by several challenges, including inaccurate information retrieval, limited access to domain information, inadequate customization of prompts...
Yunshun Zhong, Tamer E. El-Diraby, Sebastian D. Goodfellow· Journal of Computing in Civi...· 0 citations
State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...
Chandramouli· Zenodo (CERN European Organi...· 0 citations
Abstract To foster trustworthy Artificial Intelligence (AI) within the European Union, the AI Act requires providers to mark and detect the outputs of their general-purpose models. The Article 50 and Recital 133 call for marking methods that are "sufficiently reliable, interoperable, effective and robust". Yet, the rap...
Thomas Souverain· Ethics and Information Techn...· 0 citations
This work designs and test privacy-preserving methods for algorithmic shortlisting and proposes a vote-based pipeline that enables state-of-the-art LLMs to perform on par with classical machine learning.
J. Zambrano, Clément Contet, Jairo Gudiño-Rosero et al.· Proceedings of the AAAI/ACM...· 0 citations
Open-weight large language models are rapidly entering hiring pipelines, yet their discriminatory failure modes—and the regulatory exposure these create under the EU AI Act high-risk classification (Annex III) and U.S. EEOC adverse-impact analysis—remain poorly understood. We present the first systematic, multi-model a...
Kosuke Kitahara, Nobuhiro Yamaguchi· Proceedings of the AAAI/ACM...· 0 citations
