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Cohesion and coherence are essential elements that have a role in forming structural coherence and coherence of the meaning of discourse texts. The formation of a coherent structure and semantic relationship cannot be separated from using the correct elements of cohesion and coherence, which are marked...

Reference is deixis following the context of the language so that it always changes and appears in various situations and language events, resulting in the meaning of the reference in one lingual unit being different. This study examines the form of person and time deixis and their forms of reference...

This thesis explores the impact of large language model AI, such as GPT-4, on literary creation, examining the potential for new genres and styles while addressing concerns about authorship, originality, and bias. As AI-generated literature gains prominence, questions surrounding copyright and intellectual...

This study introduced a customer experience optimization framework built around AI, in which deep-network level sentiment and engagement ratings deliver a complete framework to optimize customer experience in real time transactions. The proposed system makes it possible to recognize customer emotions...

Recipe generation from food images represents a complicated multimodal challenge that needs the system to both identify visual components and realize cooking process sequences. A system composed of three principal procedures starts with ingredient detection followed by instruction sequence creation then...

This study investigates the potential of large language models (LLMs), specifically GPT-4, for automated writing scoring and feedback generation. Employing a mixed-methods approach, the research evaluates the accuracy and reliability of GPT-4 in predicting essay scores and the quality of its generated...

Based on the current situation and sorts of plights faced by one-children under the newly revised “family planning” policy, this paper reads, analyzes, and compares the past studies on “the problem of one-child parents’ old-age care” in The Paper (澎湃新闻in Chinese)and Xinhua News Agency (abbr. Xinhua in...

The integration of artificial intelligence (AI) into human-computer interaction has revolutionized various fields by enabling seamless interaction between users and machines. This research aims to design a standard image recognition chatbot that leverages the synergy of Computer Vision (CV) and Natural...

As the scale of deep learning models continues to grow, large-scale models in machine vision and natural language processing (NLP) have achieved tremendous success. For instance, the current NLP giant GPT-3 has pushed the parameter count to the scale of billions. However, due to the significant surpassing...

In present days, many industries are incorporating text classification in their ordinary tasks for consistency, scalability, and timeliness it brings in. However, while working with real data there are several obstacles to overcome during conducting the classification modeling. Natural Language Processing...

Technology upgrades our lifestyle, working culture, and day-to-day activities in this era, Artificial intelligence is playing a vital role in making things easier, embraces human-computer interactions and enhances human knowledge to unprecedented levels. The aim is to develop a small-scale voice-based...

This study pioneers a biomimetic paradigm for sustainable automated reasoning, confronting the escalating energy demands of contemporary AI systems. We present Logical Gene Encoding (LGE), a groundbreaking framework that emulates genetic evolutionary processes to achieve unprecedented efficiency in symbolic...

This study explores the integration of Large Language Models (LLMs) into e-learning platforms to create personalized education pathways, aiming to optimize learning outcomes and user engagement. Recognizing the growing demand for tailored educational experiences, we investigate the potential of LLMs,...

Purpose: to discuss the biologic and chemical mechanism of the influence on the organisms’ health exerted by different athletic loads. Method: experimental method is adopted to observe the influence of different athletic loads for six weeks continuously on such indices as IgG, CK, LDH, GPT-ALT and so...

Cyberbullying has emerged as one of the biggest challenges of the era, where social media platforms provide anonymity and speed that often fuel harmful interactions. Victims of such behaviour face significant emotional and psychological consequences, including anxiety, depression, and self-harm. Detecting...

This study evaluates four LLMs (DeepSeek, Kimi, GPT-4, Claude) in Chinese educational qualitative coding using 65 AI-enhanced teaching cases. DeepSeek outperformed others with 94% accuracy and 0.928 F1 scores, excelling in high-cognitive tasks like pedagogical objective identification. Confusion matrix...

Currently, AI product interaction, as a major part of the human-computer interaction field, has a significant impact on user experience, industry applications, and technological development. The importance of AI product interaction lies in its ability to change the way users communicate with systems...

In the 21st century, technology has advanced to the level that Ai App has been invested in, especially during this period. The AI model known as ChatGPT, which was created by OpenAI. The tool exhibits a wide range of capabilities, including work automation, personalized teaching, and the generation of...

With the continuous improvement of computing power and the explosive growth of data scale, the application of large models in the field of artificial intelligence (AI) has become more extensive and deeper. In particular, large-scale machine learning models, such as deep neural networks ((Generative Pre-trained...

In an era of rapid technological advancement, creative thinking has become crucial for mastering essential skills. Large language models like ChatGPT and GPT-4, developed by OpenAI, have revolutionized education by enhancing teaching efficiency, stimulating learners’ creativity, and fostering critical...

With the increasing volume of structured data across enterprises, efficient data retrieval and analysis have become critical challenges. This paper presents an AI-powered document chatbot that enables seamless data access using a Retrieval-Augmented Generation (RAG) architecture. The chatbot leverages...

Quanfeng Lantern Opera (also “Quanfeng Hua Deng”, “全丰花灯”), an important local folk art form of Jiangxi Province, was included in the First National List of Intangible Cultural Heritage of China in 2006 (500IX-52). It has developed a unique performance form and characteristics after long-standing as the...

Customer experience optimization is a new business need area that keeps resurfacing, and emotionally intelligent AI-based products aid in designing your customer’s overall journey making them better. Hence, this research presents AI-driven customer experience enhancement framework that blends deep learning-based...

This study develops a generative AI-based system for automatic teaching content creation, aiming to address challenges in educational resource development and personalization. The system employs a microservice architecture for scalability and reliability, builds a comprehensive pedagogical knowledge...

This study investigates user behavior on e-commerce shopping guide platforms, specifically exploring the determinants of continuous social interactions. Utilizing the XGBoost algorithm, we developed a predictive model incorporating sentiment tendencies derived from user comments. By dividing a dataset...

The conversational system aka chatbot market capture was worth USD 526 million in 2021 around the world. The innovations created such as Machine learning, Deep learning, Natural Language Processing (NLP), and Big data analytics have given a modern speed-quickening fuel to Artificial Intelligence. Well,...

Modern software systems, characterized by their complexity and distributed nature, pose significant challenges for Site Reliability Engineering (SRE) and DevOps teams. Traditional incident response processes are predominantly manual, reactive, and struggle to scale, leading to prolonged Mean Time to...

In “General Provisions of Civil Law” of the People’s Republic of China, there are some important new terms such as “gongxuliangsu” (公序良俗, public policy and ethics), “bingchichengshi, keshouchengnuo” (秉持诚实，恪守承诺, uphold honesty and honor commitment) and “shanyixiangduiren” (善意相对人, the good-faith third...

This article discusses the application status, challenges and future prospects of large models in financial field. Large model, as a deep learning model with many parameters, has already achieved remarkable results in many areas like speech recognition, image processing and natural language processing...

This study employs a mixed-methods approach to examine undergraduate students’ acceptance of ChatGPT in higher education, specifically comparing views of Chinese students with those from other countries. The research uses the Technology Acceptance Model 2 (TAM2), questionnaires, and interviews to gather...

From the perspective of speech act theory, based on the self-constructed composite corpora, this paper analyzes the English translation of modal verbs commonly used in Chinese legislative texts. The results show that: the top three modal verbs used in legislative texts of Mainland China are “yingdang...

Recently, ChatGPT has made various impacts, especially in utilizing foreign language learning. In general, ChatGPT can generate sample sentences in various languages, including Japanese. However, more research is needed to determine the reliability of these responses based on internet data. Therefore,...

The paper introduces a novel test prioritization and prevention testing method with the use of synthetic observability data, identified as logs, traces, and metrics. To this end, a PreventativeTestPro GPT and a Custom ChatGPT were used. The proposed method, according to the real-time analysis of the...

Natural language processing (NLP) has come a long way from a basic rule-based system to the sophisticated AI models we use today. The system used to adhere to rigid rules, which worked well for simple tasks but had trouble with the complexity of real-world language. The introduction of machine learning,...

Mao Zedong’s “Speech at the Yan’an Forum on Literature and Art” in 1942 and Xi Jinping’s “Speech at the Forum on Literature and Art” (hereinafter referred to as the two “Speeches”) in 2014 are two glorious Marxist literature and art theoretical guidance documents. Under the illumination of the spirit...

With the emergence of AI models like GPT, Deep Fake technologies, differentiating AI and human written text is increasingly complex. These models can produce highly realistic and consistent content that is difficult to detect, creating a growing demand for effective AI versus Human Text Authenticity...

This paper mainly studies the intelligent fashion design platform based on GPT AI technology, and discusses and analyzes the platform. Firstly, the development background and current situation of intelligent fashion design are introduced. Then, the application of GPT-like AI technology in the field of...

Get Paid To (GPT) is a self-service model under the mobile Internet. The user downloads the APP, registers as an APP member, and then takes the task (such as going to the supermarkets to check the availability of a certain product) from the APP to earn the nominal fee of the APP for the task. Based on...

This article explores the application of multimodal learning in intelligent question answering, emphasizing the importance of integrating data from multiple modalities to fully understand complex scenarios. The article reviews the development of intelligent question answering systems, from the early...

This paper examines the source and deduction process of the time of “Minor New Year” through poetry literature. According to the Compilation of Chinese Local Chronicles and Folklore Materials (《中国地方志民俗资料汇编》) [1], this paper summarizes the time of “Minor New Year” in various regions of China and the regions...

Chat-GPT, an AI-powered language model, is transforming the academic world. Students, educators, and other academic practitioners adopt its advanced capabilities to complete tasks or reduce workloads. However, existing literature providing the trend of ChatGPT usage and its implications in Indonesian...

Employing the thematic structure theory, this study investigates the differences in discourse coherence between large language model-based machine translation and traditional neural machine translation in Chinese-English news discourse translation. Findings reveal that large language model-based machine...

The development of Chat GPT has brought both opportunities and challenges to the person-targeted ideological and political education in colleges and universities. In the ideological and political education in colleges and universities, Chat GPT can actively respond to students’ realistic concerns and...

Education is undergoing continuous transformation due to technological advancements, and one such recent breakthrough is the emergence of GPT-3 (Generative Pre-trained Transformer 3). Developed by OpenAI, GPT-3 represents a cutting-edge natural language processing (NLP) system capable of generating human-like...

While “xiaonian (the Chinese minor new year)” is one of the important Chinese traditional festivals, its date is not nationally unified. This essay therefore summarized “xiaonian” time and the regions where the “xiaonian” time has evolved recorded in Compilation of Chinese Local Chronicles and Folklore...

This research introduces a novel framework for detecting fake news using advanced transformer models combined with Chain-of-Thought (CoT) reasoning. The study utilizes the GossipCop dataset, employing ALBERT, Distilled GPT-2, and Google Flan T5 for reasoning-based representations. ClaimBuster was used...

This study proposes a modular framework for green building education, which systematically integrates sustainability, quality assurance, and innovation through curriculum restructuring and a teaching value exchange model. The traditional civil engineering and architecture major is redefined into four...

This research intends to improve the user experience and simplify travel planning by creating an AI-driven Tourism Recommendation System with GPT-3.5 technology, acting as a standalone travel guide. In contrast to conventional NLP-based systems, this solution includes Kernel APIs to provide real-time,...

Open and Distance Learning (ODL) is a mode of providing flexible educational opportunities at their doorsteps both in terms of access and multiple modes of acquiring knowledge. In Open and Distance Learning (ODL) institutions it is difficult to offer timely and effective support to students as there...

The rapid deployment of multilingual Artificial Intelligence (AI) systems necessitates rigorous assessment of linguistic factors in machine behavior patterns. Existing studies have primarily focused on monolingual personality expression in large language models (LLMs), leaving critical gaps in understanding...