Results 41 to 50 of about 56,050 (312)
Unmasking Content Clarity: Advancements in Defining, Measuring and Enhancing Readability [PDF]
International Journal of Mathematical, Engineering and Management SciencesThe rapid expansion of digital content requires enhanced readability and comprehension for a diverse audience. The effectiveness of any information or content hinges on two crucial factors: its ease of understanding and readability.
Karthikeyan Swaminathan +3 more
doaj +1 more source
Who is a Better Player: LLM against LLM
CoRRAdversarial board games, as a paradigmatic domain of strategic reasoning and intelligence, have long served as both a popular competitive activity and a benchmark for evaluating artificial intelligence (AI) systems. Building on this foundation, we propose an adversarial benchmarking framework to assess the comprehensive performance of Large Language ...
Yingjie Zhou 0003 +12 more
openaire +2 more sources
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Unsafe AI for Education: A Conversation on Stochastic Parrots and Other Learning Metaphors ⚠️
Journal of Interactive Media in EducationThis interview article discusses the impact on popular and educational discourses of the metaphor for a Large Language Model of a “stochastic parrot”. The metaphor comes from the title of an influential paper on the harms of large language models from ...
Emily M. Bender +4 more
doaj +1 more source
LLM Chemistry Estimation for Multi-LLM Recommendation
CoRRMulti-LLM collaboration promises accurate, robust, and context-aware solutions, yet existing approaches rely on implicit selection and output assessment without analyzing whether collaborating models truly complement or conflict. We introduce LLM Chemistry -- a framework that measures when LLM combinations exhibit synergistic or antagonistic behaviors ...
Huascar Sanchez, Briland Hitaj
openaire +2 more sources
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
A model of ensuring LLM cybersecurity
Радіоелектронні і комп'ютерні системиThe subject of study is a model for ensuring cybersecurity of Large Language Models (LLM). The goal of this study is to develop and analyze the components of the LLM cybersecurity model to improve its assessment accuracy and ensure the required security ...
Oleksii Neretin, Vyacheslav Kharchenko
doaj +1 more source
On Evaluating LLM Alignment by Evaluating LLMs as Judges
CoRRNeurIPS 2025 Camera ...
Yixin Liu, Pengfei Liu, Arman Cohan
openaire +2 more sources
A collection of LLM related papers, thesis, tools, datasets, courses, open source models ...
Asım Sinan Yüksel
core +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source