Search Results - "Sessler, Kathrin"

Deep Neural Networks and Tabular Data: A Survey by Borisov, Vadim, Leemann, Tobias, Sebler, Kathrin, Haug, Johannes, Pawelczyk, Martin, Kasneci, Gjergji

“…Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On…”
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Assessing student errors in experimentation using artificial intelligence and large language models: A comparative study with human raters by Bewersdorff, Arne, Seßler, Kathrin, Baur, Armin, Kasneci, Enkelejda, Nerdel, Claudia

“…Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students’ experimentation protocols is challenging…”
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ChatGPT for good? On opportunities and challenges of large language models for education by Kasneci, Enkelejda, Sessler, Kathrin, Küchemann, Stefan, Bannert, Maria, Dementieva, Daryna, Fischer, Frank, Gasser, Urs, Groh, Georg, Günnemann, Stephan, Hüllermeier, Eyke, Krusche, Stephan, Kutyniok, Gitta, Michaeli, Tilman, Nerdel, Claudia, Pfeffer, Jürgen, Poquet, Oleksandra, Sailer, Michael, Schmidt, Albrecht, Seidel, Tina, Stadler, Matthias, Weller, Jochen, Kuhn, Jochen, Kasneci, Gjergji

“…Large language models represent a significant advancement in the field of AI. The underlying technology is key to further innovations and, despite critical…”
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Benchmarking Large Language Models for Math Reasoning Tasks by Seßler, Kathrin, Rong, Yao, Gözlüklü, Emek, Kasneci, Enkelejda

“…The use of Large Language Models (LLMs) in mathematical reasoning has become a cornerstone of related research, demonstrating the intelligence of these models…”
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Assessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters by Bewersdorff, Arne, Seßler, Kathrin, Baur, Armin, Kasneci, Enkelejda, Nerdel, Claudia

“…Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students' experimentation protocols is challenging…”
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Language Models are Realistic Tabular Data Generators by Borisov, Vadim, Seßler, Kathrin, Leemann, Tobias, Pawelczyk, Martin, Kasneci, Gjergji

“…Tabular data is among the oldest and most ubiquitous forms of data. However, the generation of synthetic samples with the original data's characteristics…”
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Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education by Bewersdorff, Arne, Hartmann, Christian, Hornberger, Marie, Seßler, Kathrin, Bannert, Maria, Kasneci, Enkelejda, Kasneci, Gjergji, Zhai, Xiaoming, Nerdel, Claudia

“…The integration of Artificial Intelligence (AI), particularly Large Language Model (LLM)-based systems, in education has shown promise in enhancing teaching…”
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Deep Neural Networks and Tabular Data: A Survey by Borisov, Vadim, Leemann, Tobias, Seßler, Kathrin, Haug, Johannes, Pawelczyk, Martin, Kasneci, Gjergji

“…Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On…”
Get full text