Cited by ChatGPT and CLT: Investigating Differences in Multimodal Processing

The Impact of Artificial Intelligence on Research Efficiency DOI

Mitra Madanchian, Hamed Taherdoost

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104743 - 104743

Published: April 1, 2025

Language: Английский

Citations

Research on the Construction and Application of Problem-Method-Oriented Academic Graph Empowered by LLM DOI

Qigang Liu,

Yinfan Wang,

Lifeng Mu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Abstract Nowadays, the volume of literature in each field is huge and growing rapidly, which posts challenge to researchers’ review. In this circumstance, developing useful tool for achieving efficient management high value. Traditional tools, such as tools key word searching, paper recommendation, relation visualization, keyword cloud drawing, are not suitable conducting content-level To address issues traditional a novel problem method-oriented fine-grained academic graph proposed facilitate exploration research questions, methodologies, study perspectives, their connections hidden massive literature. For building graph, new ontology dedicated describing features developed, an innovative multi-relation join extraction model proposed, creative approach leveraging Large Language Models (LLM) augment triplet results generated by supervised-learning developed. Experiments on widely used benchmark datasets show that able achieve at least 8.01% 8.65% improvement entity identification classification respectively, compared with state-of-the-art models. The visualized demonstration shows our capable accurately capturing network, method network hot topics Q&A system supported demonstrates really helpful data code work available https://github.com/asilcr/AcademicGraph.

Language: Английский

Citations

Identifying exaggeration in ESG reports using machine learning techniques DOI

Yunfang Luo,

Xiling Cui,

Qiang Liu

et al.

Data and Information Management, Journal Year: 2024, Volume and Issue: unknown, P. 100084 - 100084

Published: Sept. 1, 2024

Language: Английский

Citations

AI and cybersecurity, business protection in an interconnected world: systematic literature review DOI

Iris María Cantillo Velásquez,

Jhon Wolfgang Echeverry David,

Yerlis Patricia Martínez Taborda

et al.

Management, Journal Year: 2024, Volume and Issue: 3, P. 116 - 116

Published: Oct. 8, 2024

In an increasingly interconnected world, cyber threats are constantly evolving, with malicious actors developing sophisticated methods to attack enterprise systems. Traditional cybersecurity methods, such as firewalls and antivirus software, insufficient protect organizations from these advanced threats. A more proactive approach is needed identify stop before they cause significant damage. This research seeks understand the current state of artificial intelligence (AI) in cybersecurity, best practices methodologies for implementing effective AI solutions. To do this, authors were based on a systematic review literature, adopting AI, business protection fundamental categories. The search was mainly databases engines Scopus, Science Direct Redalyc. processed information graphed through VOSviewer software Lens.org platform. usefulness applications evident. entails challenge updating tools order achieve greater security users

Language: Английский

Citations

ChatGPT and CLT: Investigating Differences in Multimodal Processing DOI

Michael Cahalane, Samuel N. Kirshner

Journal of Economy and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations