Large language models for conceptual modelin…

Projekt Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking Generative models have revolutionized multiple domains, yet their application to tabular data remains underexplored. Evaluating g… Beitrag ansehen

Projekt Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Discrete diffusion models represent a significant advance in generative modeling, demonstrating remarkable success in synthesizin… Beitrag ansehen

Projekt Thinking with Machines: How AI Solves Math Puzzles and What Educators Can Learn This paper explores how large language models (LLMs) like ChatGPT can act as “thinking partners” in mathematics education. Using… Beitrag ansehen

Projekt A review of automatic item generation techniques leveraging large language models This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed… Beitrag ansehen

Projekt Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Artificial Intelligence (AI) has increasingly influenced modern society, recently in particular through significant advancements… Beitrag ansehen

Projekt Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards Researchers, policymakers, and developers of artificial intelligence (AI) are actively collaborating to establish trustworthy AI… Beitrag ansehen

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