Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations | Paper Citation Record

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This paper cites Executive protocol designed for new review study called: Systematic Review and Artificial Intelligence Network Meta -Analysis (RAIN) with the first application for COVID-19,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Executive protocol designed for new review study called: Systematic Review and Artificial Intelligence Network Meta -Analysis (RAIN) with the first application for COVID-19,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Identification of suitable drug combinations for treating COVID -19 using a novel machine learning approach: The RAIN method,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Emerging Drug Combinations for Targeting Tongue Neoplasms Associated Proteins/Genes: Employing Graph Neural Networks within the RAIN Protocol,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations AI -Enhanced RAIN Protocol: A Systematic Approach to Optimize Drug Combinations for Rectal Neoplasm Treatment,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations A graphSAGE discovers synergistic combinations of Gefitinib, paclitaxel, and Icotinib for Lung adenocarcinoma management by targeting human genes and proteins: the RAIN protocol,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Unresolved cited work

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This paper cites Boush, A.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Boush, A

Reference 8

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Unresolved cited work

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Trending Drugs Combination to Target Leukemia associated Proteins/Genes: using Graph Neural Networks under the RAIN Protocol,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID -19,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations DeePLT: personalized lighting facilitates by trajectory prediction of recognized residents in the smart home,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations FPL: False Positive Loss,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Active Identity Function as Activation Function,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Autonomous Navigation of Wheeled Robot using a Deep Reinforcement Learning Based Approach,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Diagnosing Alzheimer’s Disease Levels Using Machine Learning and MRI: A Novel Approach,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations The global prevalence of sexual dysfunction in women with multiple sclerosis: a systematic review and meta-analysis,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations The effects of smoking on female sexual dysfunction: a systematic review and meta - analysis,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study,

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Attention Is All You Need

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations [PDF] Rethinking Class -Balanced Methods for Long -Tailed Visual Recognition From a Domain Adaptation Perspective | Semantic Scholar

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations GPT-4 Technical Report

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations MUM: A new AI milestone for understanding information

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations [PDF] Language Models are Unsupervised Multitask Learners | Semantic Scholar

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations The Netflix Recommender System: Algorithms, Business Value, and Innovation: ACM Transactions on Management Information Systems: Vol 6, No 4

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Spotify expands AI Playlist feature to new markets including US, Canada | Reuters

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations LLMs for Conversational AI: Enhancing Chatbots and Virtual Assistants | Semantic Scholar

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Available: https://www.reuters.com/technology/artificial -intelligence/spotify-expands-ai- playlist-feature-new-markets-including-us-canada-2024-09-24/

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations [PDF] RoBERTa: A Robustly Optimized BERT Pretraining Approach | Semantic Scholar

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations (PDF) Leveraging AI Predictive Analytics for Marketing Strategy: The Mediating Role of Management Awareness

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study | IEEE Journals & Magazine | IEEE Xplore

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations BERT: Pre -training of Deep Bidirectional Transformers for Language Understanding | Request PDF

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations 02, 2025

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations (PDF) Language Models are Few -Shot Learners

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Reformer: The Efficient Transformer

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations SOMONITOR: Combining Explainable AI & Large Language Models for Marketing Analytics

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce

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Observation d94e9529-04c8-490b-9ccd-8c4fb6623fb5 · outbound

This paper cites Revolutionizing Customer Service : The Impact of Large Language Models on Chatbot Performance | Semantic Scholar.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Revolutionizing Customer Service : The Impact of Large Language Models on Chatbot Performance | Semantic Scholar

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.725319Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67ddcd98-ea5e-449a-93d0-6806d87a4e6d · outbound

This paper cites Free Download: The State of Chatbots in B2B Demand Generation Report.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Free Download: The State of Chatbots in B2B Demand Generation Report

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.736939Z

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Observation b4d35901-5b2f-4cc1-aa5a-0cfedb79e793 · outbound

This paper cites (PDF) Data-driven strategies for enhancing user engagement in digital platforms,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations (PDF) Data-driven strategies for enhancing user engagement in digital platforms,

Reference 53

Resolution: verified exact; doi, observed 2026-08-10T19:04:03.011668Z

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Observation 984520c0-b748-445a-bac3-4baa8d5715bf · outbound

This paper cites Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Reference 54

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Observation ca59df22-1b59-44d3-ab68-057cd2901efc · outbound

This paper cites Building Brands through Social Listening,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Building Brands through Social Listening,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.711842Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90f306af-4b3a-435c-8ba5-5d3605e67fd0 · outbound

This paper cites Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media

Reference 56

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations (PDF) Influencer Marketing ROI: Measurement Techniques and Optimization Strategies

Reference 57

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.514652Z

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Observation 10d07beb-46f9-47cb-88fd-66c3a8d49763 · outbound

This paper cites Large Language Models for Social Networks: Applications, Challenges, and Solutions.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Large Language Models for Social Networks: Applications, Challenges, and Solutions

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:04:03.532390Z

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Observation 76218a4e-daa6-4d08-ad67-6ca85403f01c · outbound

This paper cites On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ,

Reference 59

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations AI computing systems for LLMs training: a review,

Reference 61

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Towards Transparency by Design for Artificial Intelligence,

Reference 62

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Observation 75c7e673-1830-4b33-9051-fb7892383e4b · outbound

This paper cites Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices

Reference 63

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Observation fcba420d-70c7-4d97-addc-7c9a5dd771bc · outbound

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations (PDF) Efficient LLMs Training and Inference: An Introduction

Reference 64

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.343625Z

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Observation 50be098f-9645-418c-8de4-9e877620b7d4 · outbound

This paper cites Cloud-Native AI: Building and Deploying Large Language Models with Scalable Cloud Architectures | Integrated Journal of Science and Technology.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Cloud-Native AI: Building and Deploying Large Language Models with Scalable Cloud Architectures | Integrated Journal of Science and Technology

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.698504Z

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Observation b59a8cad-d3da-4818-9e9a-2151fc22fb67 · outbound

This paper cites Understanding LLMs: A Comprehensive Overview from Training to Inference.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Understanding LLMs: A Comprehensive Overview from Training to Inference

Reference 66

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This paper cites Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:04:03.202444Z

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Observation db7f4d41-1239-476d-a8bd-fc9d934d8dbc · outbound

This paper cites Incentive approaches for cloud computing: challenges and solutions | Journal of Engineering and Applied Science | Full Text.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Incentive approaches for cloud computing: challenges and solutions | Journal of Engineering and Applied Science | Full Text

Reference 68

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.943670Z

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Observation 31898a3d-fd5c-4f42-9375-3c1bcf2061a7 · outbound

This paper cites Revolutionizing Marketing Research with a Large Language Model: A Hybrid AI -Human Approach by Neeraj Arora, Ishita Chakraborty, Yohei Nishimura :: SSRN.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Revolutionizing Marketing Research with a Large Language Model: A Hybrid AI -Human Approach by Neeraj Arora, Ishita Chakraborty, Yohei Nishimura :: SSRN

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.671712Z

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Observation 484948c2-5199-4454-bfc8-2ad23b60061d · outbound

This paper cites The LLM Land Grab: How AWS, Azure, and GCP Are Sparring Over AI | Towards AI.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations The LLM Land Grab: How AWS, Azure, and GCP Are Sparring Over AI | Towards AI

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.684811Z

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Observation 1177531a-e6c3-4dad-80e4-20ed6c16f6f0 · outbound

This paper cites When large language models meet personalization: perspectives of challenges and opportunities,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations When large language models meet personalization: perspectives of challenges and opportunities,

Reference 71

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations ARTIFICIAL INTELLIGENCE AND HYPER -PERSONALIZATION FOR IMPROVING CUSTOMER EXPERIENCE,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.658365Z

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Observation 7afd45d7-ad7d-44c7-a6fc-0b02b5526f61 · outbound

This paper cites Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3805904.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3805904

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.644848Z

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Observation 1f14d379-32d5-4996-87e9-a42a1a580b0f · outbound

This paper cites Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective,

Reference 74

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.902132Z

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Observation f9184634-1b6d-41fe-b5ad-9a2d78ef9983 · outbound

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-10T19:04:04.632317Z

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Observation a237ea82-2e8a-4ffc-bfaf-4ef9b947e51d · outbound

This paper cites Ethical and legal challenges of AI in marketing: an exploration of solutions,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Ethical and legal challenges of AI in marketing: an exploration of solutions,

Reference 76

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.915271Z

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Observation a03b2cd1-d6a7-4a85-8077-2e2ed64a2cb2 · outbound

This paper cites [PDF] A Study to Know - Use of AI For Personalized Recommendation, Streaming Optimization, and Original Content Production at Netflix | Semantic Scholar.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations [PDF] A Study to Know - Use of AI For Personalized Recommendation, Streaming Optimization, and Original Content Production at Netflix | Semantic Scholar

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.619310Z

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Observation 05454513-c419-44a5-a5db-f6db816c9b6d · outbound

This paper cites Leveraging Artificial Intelligence in Marketing for Social Good —An Ethical Perspective,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Leveraging Artificial Intelligence in Marketing for Social Good —An Ethical Perspective,

Reference 78

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.882272Z

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Observation e228b73e-495f-4159-94a2-a624e4224844 · outbound

This paper cites Exploring the Ethical Use of Artificial Intelligence in Marketing and Advertising,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Exploring the Ethical Use of Artificial Intelligence in Marketing and Advertising,

Reference 79

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.868841Z

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Observation ef5f6ef1-fa23-4342-a71a-994ace05b538 · outbound

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Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-10T19:04:04.605168Z

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Observation db617899-f84a-415f-a453-ecc8e5ca814f · outbound

This paper cites Available: https://link.springer.com/article/10.1007/s00521-024-10868-x.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Available: https://link.springer.com/article/10.1007/s00521-024-10868-x

Reference 82

Resolution: verified exact; doi, observed 2026-08-10T19:04:02.852842Z

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Observation aa9dbe51-7694-41c5-a36e-f491c87babed · outbound

This paper cites How Explainability Contributes to Trust in AI,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations How Explainability Contributes to Trust in AI,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.592497Z

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Observation 58c0c777-ea37-4889-8e8e-a93779f383fd · outbound

This paper cites Available: https://www.semanticscholar.org/paper/Language -Models-are-Unsupervised- Multitask-Learners-Radford-Wu/9405cc0d6169988371b2755e573cc28650d14dfe.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Available: https://www.semanticscholar.org/paper/Language -Models-are-Unsupervised- Multitask-Learners-Radford-Wu/9405cc0d6169988371b2755e573cc28650d14dfe

Reference 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Outbound references

Pith citing papers