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pro vyhledávání: '"Kaeser P."'
The diffusional dynamics and vibrational spectroscopy of molecular hydrogen (H$_2$) in myoglobin (Mb) is characterized. Hydrogen has been implicated in a number of physiologically relevant processes, including cellular aging or inflammation. Here, th
Externí odkaz:
http://arxiv.org/abs/2409.08737
Autor:
Swamy, Vinitra, Romano, Davide, Desikan, Bhargav Srinivasa, Camburu, Oana-Maria, Käser, Tanja
Recent advances in eXplainable AI (XAI) for education have highlighted a critical challenge: ensuring that explanations for state-of-the-art AI models are understandable for non-technical users such as educators and students. In response, we introduc
Externí odkaz:
http://arxiv.org/abs/2409.08027
While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and present a
Externí odkaz:
http://arxiv.org/abs/2409.05511
This work combines state-of-the-art machine learning techniques with highest-level electronic structure calculations and full-dimensional quantum tunneling calculations to obtain a quantitative characterization of tunneling splittings for system size
Externí odkaz:
http://arxiv.org/abs/2407.21366
Autor:
Gado, Elena Grazia, Martorella, Tommaso, Zunino, Luca, Mejia-Domenzain, Paola, Swamy, Vinitra, Frej, Jibril, Käser, Tanja
Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primarily focused on the correctness of the answer rather than the student's
Externí odkaz:
http://arxiv.org/abs/2405.20079
Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challen
Externí odkaz:
http://arxiv.org/abs/2407.11979
There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted represe
Externí odkaz:
http://arxiv.org/abs/2404.18978
Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institution, ratings, and reviews, to make their recommendation. However, these
Externí odkaz:
http://arxiv.org/abs/2404.10876
Autor:
Niemeyer, Michael, Manhardt, Fabian, Rakotosaona, Marie-Julie, Oechsle, Michael, Duckworth, Daniel, Gosula, Rama, Tateno, Keisuke, Bates, John, Kaeser, Dominik, Tombari, Federico
Recent advances in view synthesis and real-time rendering have achieved photorealistic quality at impressive rendering speeds. While Radiance Field-based methods achieve state-of-the-art quality in challenging scenarios such as in-the-wild captures a
Externí odkaz:
http://arxiv.org/abs/2403.13806
Autor:
Neshaei, Seyed Parsa, Davis, Richard Lee, Hazimeh, Adam, Lazarevski, Bojan, Dillenbourg, Pierre, Käser, Tanja
Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token sequences representing a wide array of tasks, including time-series predi
Externí odkaz:
http://arxiv.org/abs/2403.14661