| Description |
1 online resource (377 p.) |
| Series |
Communications in Computer and Information Science ; 1946 |
|
Communications in computer and information science ; 1946.
|
| Contents |
Intro -- Preface -- Organization -- Contents -- Automatic Multilingual Question Generation for Health Data Using LLMs -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition -- 2.2 Data Preparation -- 2.3 Language Models -- 2.4 Experimentation -- 3 Results -- 4 Evaluation Metrics -- 5 Discussion -- 5.1 RQ1: What Existing Systems or Models can be Used to Automatically Generate Different Sets of Questions Given the Context for English as Well as Spanish? |
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5.2 RQ2: Is the Quality of Questions Generated Consistent Across Different Texts and Thresholds? If the Quality is not Consistent, then What Factors Impact or Determine the Quality of Questions Generated? -- 5.3 RQ3: What are the Optimal Values for These Factors Impacting the Question Generation Quality? -- 5.4 Evaluation -- References -- DSEN: A Distance-Based Semantic Enhancement Neural Network for Pronoun Anaphora Resolution -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Word Embedding -- 3.2 Distance-Embedding -- 3.3 Self-attention -- 3.4 Fine-Grained Scoring -- 4 Experiments |
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4.1 Datasets -- 4.2 Parameter Settings -- 4.3 Comparsion with Other Mehods -- 4.4 Ablation Studies -- 5 Conclusions -- References -- Inheritance and Revitalization: Exploring the Synergy Between AIGC Technologies and Chinese Traditional Culture -- 1 Introduction -- 2 Related Work -- 2.1 Text-to-Image Synthesis -- 2.2 Large Language Models -- 2.3 LoRA -- 3 Method -- 3.1 Prompt Building -- 3.2 Finetuning with LoRA -- 3.3 Workflow of the Inference Pipeline -- 4 Experiments -- 4.1 Settings -- 4.2 Results -- 5 Conclusions -- References |
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Strong-AI Autoepistemic Robots Build on Intensional First Order Logic -- 1 Introduction -- 2 Algebra for Composition of Meanings in IFOL -- 3 Four-Levels Robot's Brain Structure -- 4 A Short Introduction to Robots Autoepistemic Deduction -- 5 Conclusions and Future Work -- References -- Divide and Control: Generation of Multiple Component Comic Illustrations with Diffusion Models Based on Regression -- 1 Introduction -- 2 Related Work -- 2.1 Diffusion Probabilistic Models -- 2.2 Controllable Text-to-Image Generation with Diffusion Models -- 3 Method -- 3.1 Component Image Generation |
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3.2 Regression -- 3.3 Composition -- 3.4 Final Image Generation -- 4 Experiments -- 5 Conclusions -- References -- Enhancing EFL Vocabulary Acquisition Through Computational Thinking -- 1 Introduction -- 1.1 ChatGPT and its Essence -- 1.2 Thinking of AI and LI -- 1.3 Computational Thinking (CT) -- 1.4 Research Questions -- 2 Methods -- 2.1 Quasi-experimental Design -- 2.2 Experimental Conditions -- 2.3 Participants -- 2.4 Assessment Tools -- 2.5 Intervention Process -- 2.6 Data Collection and Processing -- 3 Results -- 3.1 Comparison Between the Experimental Class and Control Class |
| Summary |
This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 2526, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content |
| Notes |
3.2 The Experimental Class |
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Includes index |
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Online resource; title from PDF title page (SpringerLink, viewed November 13, 2023) |
| Subject |
Artificial intelligence -- Congresses
|
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Artificial intelligence.
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| Genre/Form |
Conference papers and proceedings.
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| Form |
Electronic book
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| Author |
Zhao, Feng
|
|
Miao, Duoqian.
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| ISBN |
9789819975877 |
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9819975875 |
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