Emerging Trends in Large Language Models
Editat de Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, Soheyla Amirianen Limba Engleză Paperback – 13 feb 2027
The 40 full papers included in this book were carefully reviewed and selected from 294 submissions to the Research Track on Large Language Models, CSCI-LLM.
They were organized in topical sections as follows: Large Language Models, Knowledge Graphs, Prediction Methods, and Learning Methods; Large Language Models, Natural Language Processing, Security Methods, and Applications; Large Language Models, Data Science, and Related Issues; and Large Language Models, Artificial Intelligence, and Applications.
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Specificații
ISBN-13: 9783032284686
ISBN-10: 3032284686
Pagini: 616
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.95 kg
Editura: Springer Nature Switzerland AG
ISBN-10: 3032284686
Pagini: 616
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.95 kg
Editura: Springer Nature Switzerland AG
Cuprins
.- SECTION: Large Language Models, Knowledge Graphs, Prediction Methods, and Learning Methods.
.- LangChain-Integrated LLMs and Knowledge Graphs for Multi-Agent Reinforcement Learning in Complex Air Combat Environments.
.- From Prediction to Persuasion.
.- Dynamic Learning.
.- Enhancing Context-Aware Code Search with Knowledge Graphs and Large Language Models.
.- Multi-hop Natural Language Question Answering on Graphs by Using LLMs.
.- A Proactive Approach for Predicting Equipment Downtime in an Enterprise.
.- Hybrid NLP-LLM Pipelines for Automatic Learning Content Generation.
.- Evaluating Ensemble Learning for Robust Real Time Deepfake Detection.
.- SECTION: Large Language Models, Natural Language Processing, Security Methods, and Applications.
.- Metaphor Detection and Translation for Representing Natural Language in Formal Logic.
.- Kryptonite for Small LLMs.
.- Leveraging Large Language Models for Cybersecurity Compliance.
.- Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models.
.- Cross-Model Study of LLM Capabilities for Phishing Content Generation.
.- SECTION: Large Language Models, Data Science, and Related Issues.
.- Magnol.ai Plan & Execute.
.- CURATE-FT.
.- Utilizing Large Language Models to Structure and Analyze Large Unstructured Data Sources.
.- Fossilized Memories.
.- The Implications of Large Language Model Integration for Bias in Lending Practices.
.- SECTION: Large Language Models, Artificial Intelligence, and Applications.
.- E^3-Guarded Generation.
.- PCRLLM.
.- Comprehending LLM- vs. Human-generated Business Process Models.
.- LLM-Based Process Modeling.
.- QOC DAO.
.- An Intelligent Human-AI Collaboration Pipeline for Automated Extraction of PFAS Partition Coefficients.
.- Time and Energy Consumption of a Large Language Model.
.- LLM Driven Processes to Foster Explainable AI.
.- Generative AI for Robotic Autonomy and Planning.
.- Increasing AI Explainability by LLM Driven Standard Processes.
.- Comparative Evaluation of Prompting Techniques for Forensic Video Analysis Using GPT-4o.
.- Enhancing Large Language Model Accuracy with Retrieval-Augmented Generation.
.- Monosemantic Feature Neurons.
.- Toward Reliable AI-driven Autonomous Decision-Making.
.- Comparative Analysis of Large Language Models for Multimodal Agricultural Intelligence in Precision Nursery Management Systems
.- The Agentic Leash.
.- Ayna.
.- What's in a Name?.
.- KAN-FFN Replacements in Compact Transformers.
.- Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup.
.- LegalSumAI.
.- Adaptive Melodic-Entropy-Guided Preprocessing for Lightweight MIDI Generation Models.
.- LangChain-Integrated LLMs and Knowledge Graphs for Multi-Agent Reinforcement Learning in Complex Air Combat Environments.
.- From Prediction to Persuasion.
.- Dynamic Learning.
.- Enhancing Context-Aware Code Search with Knowledge Graphs and Large Language Models.
.- Multi-hop Natural Language Question Answering on Graphs by Using LLMs.
.- A Proactive Approach for Predicting Equipment Downtime in an Enterprise.
.- Hybrid NLP-LLM Pipelines for Automatic Learning Content Generation.
.- Evaluating Ensemble Learning for Robust Real Time Deepfake Detection.
.- SECTION: Large Language Models, Natural Language Processing, Security Methods, and Applications.
.- Metaphor Detection and Translation for Representing Natural Language in Formal Logic.
.- Kryptonite for Small LLMs.
.- Leveraging Large Language Models for Cybersecurity Compliance.
.- Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models.
.- Cross-Model Study of LLM Capabilities for Phishing Content Generation.
.- SECTION: Large Language Models, Data Science, and Related Issues.
.- Magnol.ai Plan & Execute.
.- CURATE-FT.
.- Utilizing Large Language Models to Structure and Analyze Large Unstructured Data Sources.
.- Fossilized Memories.
.- The Implications of Large Language Model Integration for Bias in Lending Practices.
.- SECTION: Large Language Models, Artificial Intelligence, and Applications.
.- E^3-Guarded Generation.
.- PCRLLM.
.- Comprehending LLM- vs. Human-generated Business Process Models.
.- LLM-Based Process Modeling.
.- QOC DAO.
.- An Intelligent Human-AI Collaboration Pipeline for Automated Extraction of PFAS Partition Coefficients.
.- Time and Energy Consumption of a Large Language Model.
.- LLM Driven Processes to Foster Explainable AI.
.- Generative AI for Robotic Autonomy and Planning.
.- Increasing AI Explainability by LLM Driven Standard Processes.
.- Comparative Evaluation of Prompting Techniques for Forensic Video Analysis Using GPT-4o.
.- Enhancing Large Language Model Accuracy with Retrieval-Augmented Generation.
.- Monosemantic Feature Neurons.
.- Toward Reliable AI-driven Autonomous Decision-Making.
.- Comparative Analysis of Large Language Models for Multimodal Agricultural Intelligence in Precision Nursery Management Systems
.- The Agentic Leash.
.- Ayna.
.- What's in a Name?.
.- KAN-FFN Replacements in Compact Transformers.
.- Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup.
.- LegalSumAI.
.- Adaptive Melodic-Entropy-Guided Preprocessing for Lightweight MIDI Generation Models.