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Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI.
Published 2025-05-01“… Recent research on Responsible AI, particularly in addressing algorithmic biases, has gained significant attention. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories
Published 2025-06-01“…We discuss strategies to mitigate these risks while leveraging LLMs for enhanced efficiency in self-driving laboratories. …”
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Medical Specialty Classification Using Large Language Models (LLMs)
Published 2025-05-01“… This study evaluates the performance of Large Language Model (LLM)-based classifiers, including BERT, Bio-BERT, and Distil-BERT, in comparison to traditional Machine Learning algorithms to classify the medical transcription reports into various specialties. …”
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Augmentation and Classification of Requests in Moroccan Dialect to Improve Quality of Public Service: A Comparative Study of Algorithms
Published 2025-04-01“…The results indicate promising outcomes, with an accuracy of more than 80% for LLMs. Finally, we propose a chatbot system architecture for deploying the most efficient classification algorithm. …”
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An Efficient Multiparty Threshold ECDSA Protocol against Malicious Adversaries for Blockchain-Based LLMs
Published 2024-01-01“…Large language models (LLMs) have brought significant advancements to artificial intelligence, particularly in understanding and generating human language. …”
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Heating, Ventilation, and Air Conditioning (HVAC) Temperature and Humidity Control Optimization Based on Large Language Models (LLMs)
Published 2025-04-01“…A chain-of-thought mechanism is designed to enable comprehensive reasoning through LLMs, and an algorithm is developed to convert LLM decisions into executable HVAC control commands. …”
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Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification
Published 2025-06-01“…This highlights the potential of LLMs in transforming tabular data for enhanced graduate employment prediction.…”
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How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review
Published 2025-08-01“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
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AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models
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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead
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An End-to-End General Language Model (GLM)-4-Based Milling Cutter Fault Diagnosis Framework for Intelligent Manufacturing
Published 2025-04-01“…This study proposes a fault diagnosis algorithm based on GLM-4, and the experimental validation on the PHM 2010 dataset and a proprietary milling cutter dataset demonstrates the superiority of the proposed model, achieving diagnostic accuracies of 93.8% and 93.3%, respectively, outperforming traditional models (SVM, CNN, RNN) and baseline LLMs (ChatGLM2-6B variants). …”
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TerraCraft: City-scale generative procedural modeling with natural languages
Published 2025-09-01“…By utilizing Large Language Models (LLMs), TerraCraft can generate city-scale 3D scenes from natural text descriptions. …”
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Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms
Published 2025-06-01“…This study explores the potential of Julian Jaynes’ bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning
Published 2025-07-01“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine
Published 2025-03-01“…While various machine learning algorithms have been developed for recommendation tasks, existing systems still face limitations. …”
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