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

Observation 889133ab-0687-42e9-ab9b-201257d5bf8b · outbound

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,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.413763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9cd4ec-2ae2-40bb-8050-8e5bdae09f5a · outbound

This paper cites Identification of suitable drug combinations for treating COVID -19 using a novel machine learning approach: The RAIN method,.

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,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.418440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d93bf2b-5650-472b-bd2f-5dce5f590fe2 · outbound

This paper cites Emerging Drug Combinations for Targeting Tongue Neoplasms Associated Proteins/Genes: Employing Graph Neural Networks within the RAIN Protocol,.

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,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.422812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d11db3-dabc-465e-80be-9864a9366698 · outbound

This paper cites AI -Enhanced RAIN Protocol: A Systematic Approach to Optimize Drug Combinations for Rectal Neoplasm Treatment,.

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,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.994212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc2a3183-a6be-4c20-9c34-63e4f3161378 · outbound

This paper cites A graphSAGE discovers synergistic combinations of Gefitinib, paclitaxel, and Icotinib for Lung adenocarcinoma management by targeting human genes and proteins: the RAIN protocol,.

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,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.433176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef65853e-498c-44dc-aa58-7638a867f6f8 · outbound

This paper cites Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol,.

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,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.973130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f78cc30b-cba3-4c40-89ec-1fd893daa5b8 · outbound

This paper cites an unresolved cited work.

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

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T19:04:04.960696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 051be1ae-532e-4e95-9a08-94c48eed2615 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.948533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3cdb80ce-f2b6-448f-8abc-a0f5f98239e6 · outbound

This paper cites Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,.

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,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.936190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00c008ec-a676-44fb-8e54-7419e9b0c2ac · outbound

This paper cites Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,.

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,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.922453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69930a3f-e963-4d9e-91a5-53f05c351958 · outbound

This paper cites an unresolved cited work.

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

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.456174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edadc02-ae79-401e-a74e-9d1c8c16b8a7 · outbound

This paper cites Trending Drugs Combination to Target Leukemia associated Proteins/Genes: using Graph Neural Networks under the RAIN Protocol,.

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,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.461459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78fef3a-6103-4f92-9482-c45ce2b922af · outbound

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,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.467691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8389fbea-9d74-424f-8981-be4272e82e64 · outbound

This paper cites DeePLT: personalized lighting facilitates by trajectory prediction of recognized residents in the smart home,.

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,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.471575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 950aaff7-e350-4343-b8eb-d215ce7d36b8 · outbound

This paper cites FPL: False Positive Loss,.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.475305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ac4357-f77f-48c7-8e1c-437e2dbf2607 · outbound

This paper cites Active Identity Function as Activation Function,.

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

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.479882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85469fb-a060-4d49-9544-e80726c46f4b · outbound

This paper cites Autonomous Navigation of Wheeled Robot using a Deep Reinforcement Learning Based Approach,.

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,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.484291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9884d1-eeee-4efd-8fb6-7ca97d0793bb · outbound

This paper cites Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons,.

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,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.487846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e386e692-a694-451b-b84b-f9b824afa2b0 · outbound

This paper cites Diagnosing Alzheimer’s Disease Levels Using Machine Learning and MRI: A Novel Approach,.

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,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.491609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c61848-b4fb-4741-8516-243b9cabc9c7 · outbound

This paper cites The global prevalence of sexual dysfunction in women with multiple sclerosis: a systematic review and meta-analysis,.

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,

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-10T19:04:02.495252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a114613-08d4-4bf7-8801-d4bbc0bc968c · outbound

This paper cites The effects of smoking on female sexual dysfunction: a systematic review and meta - analysis,.

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,

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T19:04:03.165534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bc07da1-5fa5-4420-8431-0382103075f6 · outbound

This paper cites A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study,.

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,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.503156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68323d9e-acac-4edc-b196-6ae089ec233f · outbound

This paper cites Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and analysis-meta.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and analysis-meta

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.507199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8f5fed-d305-4bc3-a39e-59f51391fe27 · outbound

This paper cites Attention Is All You Need.

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

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.511145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7f3ccb-5384-459d-ae65-8a928d217651 · outbound

This paper cites [PDF] Rethinking Class -Balanced Methods for Long -Tailed Visual Recognition From a Domain Adaptation Perspective | Semantic Scholar.

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

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.849623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd108e92-c659-43de-818b-973680acc267 · outbound

This paper cites GPT-4 Technical Report.

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

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.520806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90169acf-6b52-4ff9-9ac6-ecffa792cc03 · outbound

This paper cites MUM: A new AI milestone for understanding information.

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

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.836433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd839f61-c2f0-4ca3-9764-d458f7cf0c4e · outbound

This paper cites [PDF] Language Models are Unsupervised Multitask Learners | Semantic Scholar.

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

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.824698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0782d89d-5104-402d-96cd-44ac31358854 · outbound

This paper cites Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3).

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)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.540956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ab9adb-3f9f-4c88-b92d-86a5e9e72075 · outbound

This paper cites The Netflix Recommender System: Algorithms, Business Value, and Innovation: ACM Transactions on Management Information Systems: Vol 6, No 4.

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

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.544908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be7a175-9678-4f37-a471-e3f026cf8f4c · outbound

This paper cites Spotify expands AI Playlist feature to new markets including US, Canada | Reuters.

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

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.799741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59d929c9-1a84-4a28-aac5-3a796a065a4a · outbound

This paper cites LLMs for Conversational AI: Enhancing Chatbots and Virtual Assistants | Semantic Scholar.

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

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.771893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a783475-a699-407a-8a38-fb5d36aa3a47 · outbound

This paper cites Available: https://www.reuters.com/technology/artificial -intelligence/spotify-expands-ai- playlist-feature-new-markets-including-us-canada-2024-09-24/.

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/

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.784165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b47a198-a6ae-44f9-b0c2-af5cfa9d0ee2 · outbound

This paper cites [PDF] RoBERTa: A Robustly Optimized BERT Pretraining Approach | Semantic Scholar.

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

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.760169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ac60728-67da-4610-87a9-80a2ce4b5ba4 · outbound

This paper cites (PDF) Leveraging AI Predictive Analytics for Marketing Strategy: The Mediating Role of Management Awareness.

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

Reference 36

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:04.252576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bd701f71-9f28-47ea-83f2-97d22e9e08eb · outbound

This paper cites Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study | IEEE Journals & Magazine | IEEE Xplore.

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

Reference 37

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:04.169110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48b2683b-5abc-4602-a6f4-adca26503335 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

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

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.573361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4e2e4a-311c-49ab-8b5e-a6c9b1062246 · outbound

This paper cites BERT: Pre -training of Deep Bidirectional Transformers for Language Understanding | Request PDF.

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

Reference 39

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:04.005341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5162f8d2-15c3-46ab-83ce-6dbbfc00265e · outbound

This paper cites 02, 2025.

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

Reference 40

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:04.086467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c31b0a1b-d1d0-4efa-a9e3-f14bc7fd8551 · outbound

This paper cites Longformer: The Long -Document Transformer.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Longformer: The Long -Document Transformer

Reference 41

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.826740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03f74d20-7eaa-46ff-bb11-f1fefe10ffe2 · outbound

This paper cites (PDF) Language Models are Few -Shot Learners.

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

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.926496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 562aff14-f44a-49b2-831a-3a0aec8bd3f8 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Universal Language Model Fine-tuning for Text Classification

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.604599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d77067-cc55-42e9-b4ef-0906928f556f · outbound

This paper cites Reformer: The Efficient Transformer.

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

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.600271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc33bd6a-e37c-49d4-bf28-1a433deab3ab · outbound

This paper cites How Netflix Uses NLP for Show Recommendations.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations How Netflix Uses NLP for Show Recommendations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.748715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c6a18ec-e196-41d2-aae5-7f428b75b869 · outbound

This paper cites Active Learning Literature Survey}.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Active Learning Literature Survey}

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.726492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa282f21-7123-4bb3-8600-52db845e5c41 · outbound

This paper cites Unveiling the Competitive Dynamics: A Comparative Evaluation of American and Chinese LLMs.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Unveiling the Competitive Dynamics: A Comparative Evaluation of American and Chinese LLMs

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:04:03.059750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1373727f-ffc9-4714-804c-872cb262915b · outbound

This paper cites SOMONITOR: Combining Explainable AI & Large Language Models for Marketing Analytics.

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

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.617550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1fbc1c-5ebc-413b-a7ce-f390dd7882d4 · outbound

This paper cites Top Strategic Technology Trends for 2022,.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Top Strategic Technology Trends for 2022,

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-10T19:04:03.643281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bed06963-f938-4ddd-83be-3fa86f8167e3 · outbound

This paper cites Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce.

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

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:04:03.036631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.640995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.648974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac03deeb-21c1-4ce6-89b0-fb673ecb3568 · outbound

This paper cites (PDF) Influencer Marketing ROI: Measurement Techniques and Optimization Strategies.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.679111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a828dc-df85-4625-a967-0c822a2a39d3 · outbound

This paper cites AI computing systems for LLMs training: a review,.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.690309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23cb5c4f-4dd9-4c7f-b120-60a1a3390aab · outbound

This paper cites Towards Transparency by Design for Artificial Intelligence,.

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

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T19:04:02.979615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:04:03.221256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites (PDF) Efficient LLMs Training and Inference: An Introduction.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.706309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43652d27-8b14-442f-a7a9-79a5c41904c5 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T19:04:02.759523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d1575c-7e82-472b-8786-9d1bde5e1079 · outbound

This paper cites ARTIFICIAL INTELLIGENCE AND HYPER -PERSONALIZATION FOR IMPROVING CUSTOMER EXPERIENCE,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites an unresolved cited work.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites an unresolved cited work.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:04:04.812645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers