This dataset is an extension of the publication of the Database of Byzantine Book Epigrams (2023). The 2023 publication is a copy of the data used for the live application on dbbe.ugent.be. The present dataset aims to offer a simplified structure of the DBBE data, facilitating computational research and data analysis....
Kristoffel Demoen, Sofia Belioti, Gilbert Bentein et al.· Ghent University Academic Bi...· 0 citations
# Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection ## Overview This repository contains the code and dataset for our 3-class credential leakage detection framework, which distinguishes between: - **Class 0:** No Leak- **Class 1:** Genuine Leak- **Class 2...
Mst Maksuda Bilkis Baby, Khushika Shah, 梁乃跃 et al.· Zenodo (CERN European Organi...· 0 citations
The file attached is the replication package for the experiments presented in the paper “Generalizing Large Language Models’ Hyperparameters and Prompting for Code Generation: Removing the Blindspot”. This package contains the prompts, generated code for case study, and evaluation results.
Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large language model (LLM)-based feedback systems. While LLMs can produce factually correct feedback for relatively straightforward conceptual tasks, delivering high-quality feedback for tasks that require advanced domain exp...
Holger Maus, Fabian Kieser, Stefan Petersen et al.· The Physics Educator· 0 citations
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With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess the extent to which the statistical correlations in training data hide subtle and potentially troubling biases. Gender bias in LLMs has been widely investigated from the perspectives of work, hobbies, and emotions typically a...
Massimiliano Luca, Ciro Beneduce, Bruno Lepri et al.· ACM Transactions on Intellig...· 0 citations
Foundation models derive their value from broad general capability across domains, yet deployment usually rewards specialization - creating a fundamental question for general intelligence: when performance is pushed upward in one region of capability space, is competence elsewhere conserved, redistributed, or destroyed...
Sahir Maharaj· Zenodo (CERN European Organi...· 0 citations
Eleven free-tier conversational AI assistants (ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, Perplexity, Grok, Mistral Le Chat, DeepAI, DuckDuckGo AI, DeepSeek, Kimi) were each given the same 24-item cancer prompt library, in a fresh session, verbatim, with no follow-up turns. Responses were collected 21-24 July...
Md Shohidullah Samrat, Mst. Jarfin Begum Jyoti, Abid Hasan Rafi· Zenodo (CERN European Organi...· 0 citations
INFRA-COMPASS is an innovative software tool utilizing Large Language Models (LLMs) to systematically compile and update an inventory of state and local codes and ordinances related to energy infrastructure. Given the multitude of jurisdictions involved, automating the inventory process through AI is crucial for monito...
Pavlo Pinchuk, Guilherme Castelão, Anthony Lopez et al.· Zenodo (CERN European Organi...· 0 citations
A comprehensive natural language processing (NLP) pipeline for extracting key information and identifying industries, which outperforms traditional machine learning baselines and single deep learning models, offering more reliable recognition for minority classes.
Xin-Yi Xu· Applied and Computational En...· 0 citations
Eleven free-tier conversational AI assistants (ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, Perplexity, Grok, Mistral Le Chat, DeepAI, DuckDuckGo AI, DeepSeek, Kimi) were each given the same 24-item cancer prompt library, in a fresh session, verbatim, with no follow-up turns. Responses were collected 21-24 July...
Md Shohidullah Samrat, Mst. Jarfin Begum Jyoti, Abid Hasan Rafi· Zenodo (CERN European Organi...· 0 citations
The explosive growth of large-scale video archives from surveillance networks, online platforms, and personal devices has made efficient and semantically rich video retrieval a critical challenge. Existing approaches based on deep multimodal embeddings have significantly improved retrieval accuracy. However, they often...
Rashid Hmaidan, Sebastiano Milardo, Irene Donato et al.· Multimedia tools and applica...· 0 citations
As autonomous agents backed by large language models (LLMs) move from single-user assistants toward peer systems that transact directly with one another, the volume of agent-to-agent (A2A) communication is projected to reach a scale comparable to today’s host-to-host network traffic. At that scale, no human reviewer ca...
Nehal Sangoi, Kris Feldmann, Deven Yadav et al.· International Journal of Glo...· 0 citations